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Upload SegformerForSemanticSegmentation

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  1. README.md +199 -0
  2. config.json +1113 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ <!-- Provide a longer summary of what this model is. -->
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+
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** [More Information Needed]
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+ - **Language(s) (NLP):** [More Information Needed]
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+ - **License:** [More Information Needed]
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+ - **Finetuned from model [optional]:** [More Information Needed]
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+
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+ ### Model Sources [optional]
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+
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+ <!-- Provide the basic links for the model. -->
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+
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+ - **Repository:** [More Information Needed]
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+ - **Paper [optional]:** [More Information Needed]
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+ - **Demo [optional]:** [More Information Needed]
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+
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+ ## Uses
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+
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+
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+ ### Direct Use
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+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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+
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
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+
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+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+
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+ [More Information Needed]
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+
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+ ### Out-of-Scope Use
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+
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
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+
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+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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+
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+ [More Information Needed]
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+
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+ ### Recommendations
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+
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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+
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+
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+ Use the code below to get started with the model.
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+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+
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+ [More Information Needed]
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+
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
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+
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+
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+ #### Speeds, Sizes, Times [optional]
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+
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+
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+ [More Information Needed]
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+
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+ ## Evaluation
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+
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+
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+ ### Testing Data, Factors & Metrics
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+
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+ #### Testing Data
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+
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+ <!-- This should link to a Dataset Card if possible. -->
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+
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+ [More Information Needed]
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+
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+
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+ [More Information Needed]
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+
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+ #### Metrics
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+
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+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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+
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+ [More Information Needed]
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+
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+ ### Results
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+
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+ [More Information Needed]
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+
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+ #### Summary
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+
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+
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+
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+ ## Model Examination [optional]
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+
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+ <!-- Relevant interpretability work for the model goes here -->
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+
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+ [More Information Needed]
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+
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+ ## Environmental Impact
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+
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+
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+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
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+
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+ ## Technical Specifications [optional]
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+
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+ ### Model Architecture and Objective
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+
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+ [More Information Needed]
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+
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+ ### Compute Infrastructure
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+
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+ [More Information Needed]
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+
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+ #### Hardware
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+
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+ [More Information Needed]
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+
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+ #### Software
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+
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+ [More Information Needed]
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+
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+ ## Citation [optional]
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+
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ [More Information Needed]
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+
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+ **APA:**
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+
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+ [More Information Needed]
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+
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+ ## Glossary [optional]
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+
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+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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+
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+ [More Information Needed]
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+
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+ ## More Information [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Authors [optional]
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+
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+ [More Information Needed]
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+
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+ ## Model Card Contact
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+
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+ [More Information Needed]
config.json ADDED
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+ {
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+ "_name_or_path": "nvidia/mit-b5",
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+ "architectures": [
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+ "SegformerForSemanticSegmentation"
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+ "African crocodile, Nile crocodile, Crocodylus niloticus": 49,
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+ "African elephant, Loxodonta africana": 386,
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+ "African grey, African gray, Psittacus erithacus": 87,
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+ "African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus": 275,
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+ "Airedale, Airedale terrier": 191,
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+ "American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier": 180,
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+ "American alligator, Alligator mississipiensis": 50,
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+ "American black bear, black bear, Ursus americanus, Euarctos americanus": 295,
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+ "American chameleon, anole, Anolis carolinensis": 40,
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+ "Appenzeller": 240,
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+ "Australian terrier": 193,
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+ "Blenheim spaniel": 156,
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+ "Doberman, Doberman pinscher": 236,
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+ "Eskimo dog, husky": 248,
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+ "European fire salamander, Salamandra salamandra": 25,
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+ "European gallinule, Porphyrio porphyrio": 136,
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+ "French bulldog": 245,
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+ "French horn, horn": 566,
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+ "French loaf": 930,
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+ "German shepherd, German shepherd dog, German police dog, alsatian": 235,
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+ "German short-haired pointer": 210,
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+ "Gila monster, Heloderma suspectum": 45,
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+ "Gordon setter": 214,
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+ "Granny Smith": 948,
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+ "Great Dane": 246,
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+ "Great Pyrenees": 257,
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+ "Greater Swiss Mountain dog": 238,
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+ "Ibizan hound, Ibizan Podenco": 173,
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+ "Indian cobra, Naja naja": 63,
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+ "Indian elephant, Elephas maximus": 385,
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+ "Irish setter, red setter": 213,
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+ "Irish terrier": 184,
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+ "Irish water spaniel": 221,
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+ "Irish wolfhound": 170,
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+ "Italian greyhound": 171,
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+ "Japanese spaniel": 152,
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+ "Kerry blue terrier": 183,
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+ "Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis": 48,
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+ "Labrador retriever": 208,
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+ "Lakeland terrier": 189,
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+ "Leonberg": 255,
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+ "Lhasa, Lhasa apso": 204,
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+ "Loafer": 630,
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+ "Madagascar cat, ring-tailed lemur, Lemur catta": 383,
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+ "Maltese dog, Maltese terrier, Maltese": 153,
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+ "Mexican hairless": 268,
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+ "Model T": 661,
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+ "Newfoundland, Newfoundland dog": 256,
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+ "Norfolk terrier": 185,
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+ "Norwegian elkhound, elkhound": 174,
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+ "Norwich terrier": 186,
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+ "Old English sheepdog, bobtail": 229,
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+ "Pekinese, Pekingese, Peke": 154,
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+ "Pembroke, Pembroke Welsh corgi": 263,
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+ "Persian cat": 283,
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+ "Petri dish": 712,
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+ "Rottweiler": 234,
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+ "Saint Bernard, St Bernard": 247,
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+ "abacus": 398,
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+ "abaya": 399,
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+ "accordion, piano accordion, squeeze box": 401,
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+ "acorn": 988,
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+ "acorn squash": 941,
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+ "admiral": 321,
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+ "apiary, bee house": 410,
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+ "barometer": 426,
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+ "barrel, cask": 427,
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+ "barrow, garden cart, lawn cart, wheelbarrow": 428,
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+ "baseball": 429,
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+ "basenji": 253,
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+ "basketball": 430,
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+ "bassinet": 431,
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+ "bassoon": 432,
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+ "bath towel": 434,
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+ "bathing cap, swimming cap": 433,
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+ "bathtub, bathing tub, bath, tub": 435,
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+ "beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon": 436,
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+ "beacon, lighthouse, beacon light, pharos": 437,
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+ "beagle": 162,
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+ "beaker": 438,
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+ "bearskin, busby, shako": 439,
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+ "beaver": 337,
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+ "bee": 309,
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+ "bee eater": 92,
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+ "beer bottle": 440,
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+ "beer glass": 441,
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+ "bell cote, bell cot": 442,
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+ "bell pepper": 945,
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+ "bib": 443,
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+ "bicycle-built-for-two, tandem bicycle, tandem": 444,
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+ "bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis": 349,
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+ "bikini, two-piece": 445,
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+ "binder, ring-binder": 446,
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+ "binoculars, field glasses, opera glasses": 447,
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+ "birdhouse": 448,
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+ "bison": 347,
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+ "bittern": 133,
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+ "black and gold garden spider, Argiope aurantia": 72,
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+ "black grouse": 80,
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+ "black stork, Ciconia nigra": 128,
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+ "black swan, Cygnus atratus": 100,
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+ "black widow, Latrodectus mactans": 75,
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+ "black-and-tan coonhound": 165,
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+ "black-footed ferret, ferret, Mustela nigripes": 359,
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+ "bloodhound, sleuthhound": 163,
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+ "bluetick": 164,
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+ "boa constrictor, Constrictor constrictor": 61,
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+ "boathouse": 449,
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+ "bobsled, bobsleigh, bob": 450,
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+ "bolete": 997,
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+ "bolo tie, bolo, bola tie, bola": 451,
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+ "bonnet, poke bonnet": 452,
284
+ "book jacket, dust cover, dust jacket, dust wrapper": 921,
285
+ "bookcase": 453,
286
+ "bookshop, bookstore, bookstall": 454,
287
+ "borzoi, Russian wolfhound": 169,
288
+ "bottlecap": 455,
289
+ "bow": 456,
290
+ "bow tie, bow-tie, bowtie": 457,
291
+ "box turtle, box tortoise": 37,
292
+ "boxer": 242,
293
+ "brain coral": 109,
294
+ "brambling, Fringilla montifringilla": 10,
295
+ "brass, memorial tablet, plaque": 458,
296
+ "brassiere, bra, bandeau": 459,
297
+ "breakwater, groin, groyne, mole, bulwark, seawall, jetty": 460,
298
+ "breastplate, aegis, egis": 461,
299
+ "briard": 226,
300
+ "broccoli": 937,
301
+ "broom": 462,
302
+ "brown bear, bruin, Ursus arctos": 294,
303
+ "bubble": 971,
304
+ "bucket, pail": 463,
305
+ "buckeye, horse chestnut, conker": 990,
306
+ "buckle": 464,
307
+ "bulbul": 16,
308
+ "bull mastiff": 243,
309
+ "bullet train, bullet": 466,
310
+ "bulletproof vest": 465,
311
+ "bullfrog, Rana catesbeiana": 30,
312
+ "burrito": 965,
313
+ "bustard": 138,
314
+ "butcher shop, meat market": 467,
315
+ "butternut squash": 942,
316
+ "cab, hack, taxi, taxicab": 468,
317
+ "cabbage butterfly": 324,
318
+ "cairn, cairn terrier": 192,
319
+ "caldron, cauldron": 469,
320
+ "can opener, tin opener": 473,
321
+ "candle, taper, wax light": 470,
322
+ "cannon": 471,
323
+ "canoe": 472,
324
+ "capuchin, ringtail, Cebus capucinus": 378,
325
+ "car mirror": 475,
326
+ "car wheel": 479,
327
+ "carbonara": 959,
328
+ "cardigan": 474,
329
+ "cardoon": 946,
330
+ "carousel, carrousel, merry-go-round, roundabout, whirligig": 476,
331
+ "carpenter's kit, tool kit": 477,
332
+ "carton": 478,
333
+ "cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM": 480,
334
+ "cassette": 481,
335
+ "cassette player": 482,
336
+ "castle": 483,
337
+ "catamaran": 484,
338
+ "cauliflower": 938,
339
+ "cello, violoncello": 486,
340
+ "cellular telephone, cellular phone, cellphone, cell, mobile phone": 487,
341
+ "centipede": 79,
342
+ "chain": 488,
343
+ "chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour": 490,
344
+ "chain saw, chainsaw": 491,
345
+ "chainlink fence": 489,
346
+ "chambered nautilus, pearly nautilus, nautilus": 117,
347
+ "cheeseburger": 933,
348
+ "cheetah, chetah, Acinonyx jubatus": 293,
349
+ "chest": 492,
350
+ "chickadee": 19,
351
+ "chiffonier, commode": 493,
352
+ "chime, bell, gong": 494,
353
+ "chimpanzee, chimp, Pan troglodytes": 367,
354
+ "china cabinet, china closet": 495,
355
+ "chiton, coat-of-mail shell, sea cradle, polyplacophore": 116,
356
+ "chocolate sauce, chocolate syrup": 960,
357
+ "chow, chow chow": 260,
358
+ "church, church building": 497,
359
+ "cicada, cicala": 316,
360
+ "cinema, movie theater, movie theatre, movie house, picture palace": 498,
361
+ "cleaver, meat cleaver, chopper": 499,
362
+ "cliff dwelling": 500,
363
+ "cliff, drop, drop-off": 972,
364
+ "cloak": 501,
365
+ "clog, geta, patten, sabot": 502,
366
+ "clumber, clumber spaniel": 216,
367
+ "cock": 7,
368
+ "cocker spaniel, English cocker spaniel, cocker": 219,
369
+ "cockroach, roach": 314,
370
+ "cocktail shaker": 503,
371
+ "coffee mug": 504,
372
+ "coffeepot": 505,
373
+ "coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch": 391,
374
+ "coil, spiral, volute, whorl, helix": 506,
375
+ "collie": 231,
376
+ "colobus, colobus monkey": 375,
377
+ "combination lock": 507,
378
+ "comic book": 917,
379
+ "common iguana, iguana, Iguana iguana": 39,
380
+ "common newt, Triturus vulgaris": 26,
381
+ "computer keyboard, keypad": 508,
382
+ "conch": 112,
383
+ "confectionery, confectionary, candy store": 509,
384
+ "consomme": 925,
385
+ "container ship, containership, container vessel": 510,
386
+ "convertible": 511,
387
+ "coral fungus": 991,
388
+ "coral reef": 973,
389
+ "corkscrew, bottle screw": 512,
390
+ "corn": 987,
391
+ "cornet, horn, trumpet, trump": 513,
392
+ "coucal": 91,
393
+ "cougar, puma, catamount, mountain lion, painter, panther, Felis concolor": 286,
394
+ "cowboy boot": 514,
395
+ "cowboy hat, ten-gallon hat": 515,
396
+ "coyote, prairie wolf, brush wolf, Canis latrans": 272,
397
+ "cradle": 516,
398
+ "crane": 517,
399
+ "crash helmet": 518,
400
+ "crate": 519,
401
+ "crayfish, crawfish, crawdad, crawdaddy": 124,
402
+ "crib, cot": 520,
403
+ "cricket": 312,
404
+ "croquet ball": 522,
405
+ "crossword puzzle, crossword": 918,
406
+ "crutch": 523,
407
+ "cucumber, cuke": 943,
408
+ "cuirass": 524,
409
+ "cup": 968,
410
+ "curly-coated retriever": 206,
411
+ "custard apple": 956,
412
+ "daisy": 985,
413
+ "dalmatian, coach dog, carriage dog": 251,
414
+ "dam, dike, dyke": 525,
415
+ "damselfly": 320,
416
+ "desk": 526,
417
+ "desktop computer": 527,
418
+ "dhole, Cuon alpinus": 274,
419
+ "dial telephone, dial phone": 528,
420
+ "diamondback, diamondback rattlesnake, Crotalus adamanteus": 67,
421
+ "diaper, nappy, napkin": 529,
422
+ "digital clock": 530,
423
+ "digital watch": 531,
424
+ "dingo, warrigal, warragal, Canis dingo": 273,
425
+ "dining table, board": 532,
426
+ "dishrag, dishcloth": 533,
427
+ "dishwasher, dish washer, dishwashing machine": 534,
428
+ "disk brake, disc brake": 535,
429
+ "dock, dockage, docking facility": 536,
430
+ "dogsled, dog sled, dog sleigh": 537,
431
+ "dome": 538,
432
+ "doormat, welcome mat": 539,
433
+ "dough": 961,
434
+ "dowitcher": 142,
435
+ "dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk": 319,
436
+ "drake": 97,
437
+ "drilling platform, offshore rig": 540,
438
+ "drum, membranophone, tympan": 541,
439
+ "drumstick": 542,
440
+ "dugong, Dugong dugon": 149,
441
+ "dumbbell": 543,
442
+ "dung beetle": 305,
443
+ "ear, spike, capitulum": 998,
444
+ "earthstar": 995,
445
+ "echidna, spiny anteater, anteater": 102,
446
+ "eel": 390,
447
+ "eft": 27,
448
+ "eggnog": 969,
449
+ "electric fan, blower": 545,
450
+ "electric guitar": 546,
451
+ "electric locomotive": 547,
452
+ "electric ray, crampfish, numbfish, torpedo": 5,
453
+ "entertainment center": 548,
454
+ "envelope": 549,
455
+ "espresso": 967,
456
+ "espresso maker": 550,
457
+ "face powder": 551,
458
+ "feather boa, boa": 552,
459
+ "fiddler crab": 120,
460
+ "fig": 952,
461
+ "file, file cabinet, filing cabinet": 553,
462
+ "fire engine, fire truck": 555,
463
+ "fire screen, fireguard": 556,
464
+ "fireboat": 554,
465
+ "flagpole, flagstaff": 557,
466
+ "flamingo": 130,
467
+ "flat-coated retriever": 205,
468
+ "flatworm, platyhelminth": 110,
469
+ "flute, transverse flute": 558,
470
+ "fly": 308,
471
+ "folding chair": 559,
472
+ "football helmet": 560,
473
+ "forklift": 561,
474
+ "fountain": 562,
475
+ "fountain pen": 563,
476
+ "four-poster": 564,
477
+ "fox squirrel, eastern fox squirrel, Sciurus niger": 335,
478
+ "freight car": 565,
479
+ "frilled lizard, Chlamydosaurus kingi": 43,
480
+ "frying pan, frypan, skillet": 567,
481
+ "fur coat": 568,
482
+ "gar, garfish, garpike, billfish, Lepisosteus osseus": 395,
483
+ "garbage truck, dustcart": 569,
484
+ "garden spider, Aranea diademata": 74,
485
+ "garter snake, grass snake": 57,
486
+ "gas pump, gasoline pump, petrol pump, island dispenser": 571,
487
+ "gasmask, respirator, gas helmet": 570,
488
+ "gazelle": 353,
489
+ "geyser": 974,
490
+ "giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca": 388,
491
+ "giant schnauzer": 197,
492
+ "gibbon, Hylobates lar": 368,
493
+ "go-kart": 573,
494
+ "goblet": 572,
495
+ "golden retriever": 207,
496
+ "goldfinch, Carduelis carduelis": 11,
497
+ "goldfish, Carassius auratus": 1,
498
+ "golf ball": 574,
499
+ "golfcart, golf cart": 575,
500
+ "gondola": 576,
501
+ "gong, tam-tam": 577,
502
+ "goose": 99,
503
+ "gorilla, Gorilla gorilla": 366,
504
+ "gown": 578,
505
+ "grand piano, grand": 579,
506
+ "grasshopper, hopper": 311,
507
+ "great grey owl, great gray owl, Strix nebulosa": 24,
508
+ "great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias": 2,
509
+ "green lizard, Lacerta viridis": 46,
510
+ "green mamba": 64,
511
+ "green snake, grass snake": 55,
512
+ "greenhouse, nursery, glasshouse": 580,
513
+ "grey fox, gray fox, Urocyon cinereoargenteus": 280,
514
+ "grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus": 147,
515
+ "grille, radiator grille": 581,
516
+ "grocery store, grocery, food market, market": 582,
517
+ "groenendael": 224,
518
+ "groom, bridegroom": 982,
519
+ "ground beetle, carabid beetle": 302,
520
+ "guacamole": 924,
521
+ "guenon, guenon monkey": 370,
522
+ "guillotine": 583,
523
+ "guinea pig, Cavia cobaya": 338,
524
+ "gyromitra": 993,
525
+ "hair slide": 584,
526
+ "hair spray": 585,
527
+ "half track": 586,
528
+ "hammer": 587,
529
+ "hammerhead, hammerhead shark": 4,
530
+ "hamper": 588,
531
+ "hamster": 333,
532
+ "hand blower, blow dryer, blow drier, hair dryer, hair drier": 589,
533
+ "hand-held computer, hand-held microcomputer": 590,
534
+ "handkerchief, hankie, hanky, hankey": 591,
535
+ "hard disc, hard disk, fixed disk": 592,
536
+ "hare": 331,
537
+ "harmonica, mouth organ, harp, mouth harp": 593,
538
+ "harp": 594,
539
+ "hartebeest": 351,
540
+ "harvester, reaper": 595,
541
+ "harvestman, daddy longlegs, Phalangium opilio": 70,
542
+ "hatchet": 596,
543
+ "hay": 958,
544
+ "head cabbage": 936,
545
+ "hen": 8,
546
+ "hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa": 996,
547
+ "hermit crab": 125,
548
+ "hip, rose hip, rosehip": 989,
549
+ "hippopotamus, hippo, river horse, Hippopotamus amphibius": 344,
550
+ "hog, pig, grunter, squealer, Sus scrofa": 341,
551
+ "hognose snake, puff adder, sand viper": 54,
552
+ "holster": 597,
553
+ "home theater, home theatre": 598,
554
+ "honeycomb": 599,
555
+ "hook, claw": 600,
556
+ "hoopskirt, crinoline": 601,
557
+ "horizontal bar, high bar": 602,
558
+ "hornbill": 93,
559
+ "horned viper, cerastes, sand viper, horned asp, Cerastes cornutus": 66,
560
+ "horse cart, horse-cart": 603,
561
+ "hot pot, hotpot": 926,
562
+ "hotdog, hot dog, red hot": 934,
563
+ "hourglass": 604,
564
+ "house finch, linnet, Carpodacus mexicanus": 12,
565
+ "howler monkey, howler": 379,
566
+ "hummingbird": 94,
567
+ "hyena, hyaena": 276,
568
+ "iPod": 605,
569
+ "ibex, Capra ibex": 350,
570
+ "ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus": 296,
571
+ "ice cream, icecream": 928,
572
+ "ice lolly, lolly, lollipop, popsicle": 929,
573
+ "impala, Aepyceros melampus": 352,
574
+ "indigo bunting, indigo finch, indigo bird, Passerina cyanea": 14,
575
+ "indri, indris, Indri indri, Indri brevicaudatus": 384,
576
+ "iron, smoothing iron": 606,
577
+ "isopod": 126,
578
+ "jacamar": 95,
579
+ "jack-o'-lantern": 607,
580
+ "jackfruit, jak, jack": 955,
581
+ "jaguar, panther, Panthera onca, Felis onca": 290,
582
+ "jay": 17,
583
+ "jean, blue jean, denim": 608,
584
+ "jeep, landrover": 609,
585
+ "jellyfish": 107,
586
+ "jersey, T-shirt, tee shirt": 610,
587
+ "jigsaw puzzle": 611,
588
+ "jinrikisha, ricksha, rickshaw": 612,
589
+ "joystick": 613,
590
+ "junco, snowbird": 13,
591
+ "keeshond": 261,
592
+ "kelpie": 227,
593
+ "killer whale, killer, orca, grampus, sea wolf, Orcinus orca": 148,
594
+ "kimono": 614,
595
+ "king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica": 121,
596
+ "king penguin, Aptenodytes patagonica": 145,
597
+ "king snake, kingsnake": 56,
598
+ "kit fox, Vulpes macrotis": 278,
599
+ "kite": 21,
600
+ "knee pad": 615,
601
+ "knot": 616,
602
+ "koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus": 105,
603
+ "komondor": 228,
604
+ "kuvasz": 222,
605
+ "lab coat, laboratory coat": 617,
606
+ "lacewing, lacewing fly": 318,
607
+ "ladle": 618,
608
+ "ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle": 301,
609
+ "lakeside, lakeshore": 975,
610
+ "lampshade, lamp shade": 619,
611
+ "langur": 374,
612
+ "laptop, laptop computer": 620,
613
+ "lawn mower, mower": 621,
614
+ "leaf beetle, chrysomelid": 304,
615
+ "leafhopper": 317,
616
+ "leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea": 34,
617
+ "lemon": 951,
618
+ "lens cap, lens cover": 622,
619
+ "leopard, Panthera pardus": 288,
620
+ "lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens": 387,
621
+ "letter opener, paper knife, paperknife": 623,
622
+ "library": 624,
623
+ "lifeboat": 625,
624
+ "lighter, light, igniter, ignitor": 626,
625
+ "limousine, limo": 627,
626
+ "limpkin, Aramus pictus": 135,
627
+ "liner, ocean liner": 628,
628
+ "lion, king of beasts, Panthera leo": 291,
629
+ "lionfish": 396,
630
+ "lipstick, lip rouge": 629,
631
+ "little blue heron, Egretta caerulea": 131,
632
+ "llama": 355,
633
+ "loggerhead, loggerhead turtle, Caretta caretta": 33,
634
+ "long-horned beetle, longicorn, longicorn beetle": 303,
635
+ "lorikeet": 90,
636
+ "lotion": 631,
637
+ "loudspeaker, speaker, speaker unit, loudspeaker system, speaker system": 632,
638
+ "loupe, jeweler's loupe": 633,
639
+ "lumbermill, sawmill": 634,
640
+ "lycaenid, lycaenid butterfly": 326,
641
+ "lynx, catamount": 287,
642
+ "macaque": 373,
643
+ "macaw": 88,
644
+ "magnetic compass": 635,
645
+ "magpie": 18,
646
+ "mailbag, postbag": 636,
647
+ "mailbox, letter box": 637,
648
+ "maillot": 638,
649
+ "maillot, tank suit": 639,
650
+ "malamute, malemute, Alaskan malamute": 249,
651
+ "malinois": 225,
652
+ "manhole cover": 640,
653
+ "mantis, mantid": 315,
654
+ "maraca": 641,
655
+ "marimba, xylophone": 642,
656
+ "marmoset": 377,
657
+ "marmot": 336,
658
+ "mashed potato": 935,
659
+ "mask": 643,
660
+ "matchstick": 644,
661
+ "maypole": 645,
662
+ "maze, labyrinth": 646,
663
+ "measuring cup": 647,
664
+ "meat loaf, meatloaf": 962,
665
+ "medicine chest, medicine cabinet": 648,
666
+ "meerkat, mierkat": 299,
667
+ "megalith, megalithic structure": 649,
668
+ "menu": 922,
669
+ "microphone, mike": 650,
670
+ "microwave, microwave oven": 651,
671
+ "military uniform": 652,
672
+ "milk can": 653,
673
+ "miniature pinscher": 237,
674
+ "miniature poodle": 266,
675
+ "miniature schnauzer": 196,
676
+ "minibus": 654,
677
+ "miniskirt, mini": 655,
678
+ "minivan": 656,
679
+ "mink": 357,
680
+ "missile": 657,
681
+ "mitten": 658,
682
+ "mixing bowl": 659,
683
+ "mobile home, manufactured home": 660,
684
+ "modem": 662,
685
+ "monarch, monarch butterfly, milkweed butterfly, Danaus plexippus": 323,
686
+ "monastery": 663,
687
+ "mongoose": 298,
688
+ "monitor": 664,
689
+ "moped": 665,
690
+ "mortar": 666,
691
+ "mortarboard": 667,
692
+ "mosque": 668,
693
+ "mosquito net": 669,
694
+ "motor scooter, scooter": 670,
695
+ "mountain bike, all-terrain bike, off-roader": 671,
696
+ "mountain tent": 672,
697
+ "mouse, computer mouse": 673,
698
+ "mousetrap": 674,
699
+ "moving van": 675,
700
+ "mud turtle": 35,
701
+ "mushroom": 947,
702
+ "muzzle": 676,
703
+ "nail": 677,
704
+ "neck brace": 678,
705
+ "necklace": 679,
706
+ "nematode, nematode worm, roundworm": 111,
707
+ "night snake, Hypsiglena torquata": 60,
708
+ "nipple": 680,
709
+ "notebook, notebook computer": 681,
710
+ "obelisk": 682,
711
+ "oboe, hautboy, hautbois": 683,
712
+ "ocarina, sweet potato": 684,
713
+ "odometer, hodometer, mileometer, milometer": 685,
714
+ "oil filter": 686,
715
+ "orange": 950,
716
+ "orangutan, orang, orangutang, Pongo pygmaeus": 365,
717
+ "organ, pipe organ": 687,
718
+ "oscilloscope, scope, cathode-ray oscilloscope, CRO": 688,
719
+ "ostrich, Struthio camelus": 9,
720
+ "otter": 360,
721
+ "otterhound, otter hound": 175,
722
+ "overskirt": 689,
723
+ "ox": 345,
724
+ "oxcart": 690,
725
+ "oxygen mask": 691,
726
+ "oystercatcher, oyster catcher": 143,
727
+ "packet": 692,
728
+ "paddle, boat paddle": 693,
729
+ "paddlewheel, paddle wheel": 694,
730
+ "padlock": 695,
731
+ "paintbrush": 696,
732
+ "pajama, pyjama, pj's, jammies": 697,
733
+ "palace": 698,
734
+ "panpipe, pandean pipe, syrinx": 699,
735
+ "paper towel": 700,
736
+ "papillon": 157,
737
+ "parachute, chute": 701,
738
+ "parallel bars, bars": 702,
739
+ "park bench": 703,
740
+ "parking meter": 704,
741
+ "partridge": 86,
742
+ "passenger car, coach, carriage": 705,
743
+ "patas, hussar monkey, Erythrocebus patas": 371,
744
+ "patio, terrace": 706,
745
+ "pay-phone, pay-station": 707,
746
+ "peacock": 84,
747
+ "pedestal, plinth, footstall": 708,
748
+ "pelican": 144,
749
+ "pencil box, pencil case": 709,
750
+ "pencil sharpener": 710,
751
+ "perfume, essence": 711,
752
+ "photocopier": 713,
753
+ "pick, plectrum, plectron": 714,
754
+ "pickelhaube": 715,
755
+ "picket fence, paling": 716,
756
+ "pickup, pickup truck": 717,
757
+ "pier": 718,
758
+ "piggy bank, penny bank": 719,
759
+ "pill bottle": 720,
760
+ "pillow": 721,
761
+ "pineapple, ananas": 953,
762
+ "ping-pong ball": 722,
763
+ "pinwheel": 723,
764
+ "pirate, pirate ship": 724,
765
+ "pitcher, ewer": 725,
766
+ "pizza, pizza pie": 963,
767
+ "plane, carpenter's plane, woodworking plane": 726,
768
+ "planetarium": 727,
769
+ "plastic bag": 728,
770
+ "plate": 923,
771
+ "plate rack": 729,
772
+ "platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus": 103,
773
+ "plow, plough": 730,
774
+ "plunger, plumber's helper": 731,
775
+ "pole": 733,
776
+ "polecat, fitch, foulmart, foumart, Mustela putorius": 358,
777
+ "police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria": 734,
778
+ "pomegranate": 957,
779
+ "poncho": 735,
780
+ "pool table, billiard table, snooker table": 736,
781
+ "pop bottle, soda bottle": 737,
782
+ "porcupine, hedgehog": 334,
783
+ "pot, flowerpot": 738,
784
+ "potpie": 964,
785
+ "potter's wheel": 739,
786
+ "power drill": 740,
787
+ "prairie chicken, prairie grouse, prairie fowl": 83,
788
+ "prayer rug, prayer mat": 741,
789
+ "pretzel": 932,
790
+ "printer": 742,
791
+ "prison, prison house": 743,
792
+ "proboscis monkey, Nasalis larvatus": 376,
793
+ "projectile, missile": 744,
794
+ "projector": 745,
795
+ "promontory, headland, head, foreland": 976,
796
+ "ptarmigan": 81,
797
+ "puck, hockey puck": 746,
798
+ "puffer, pufferfish, blowfish, globefish": 397,
799
+ "pug, pug-dog": 254,
800
+ "punching bag, punch bag, punching ball, punchball": 747,
801
+ "purse": 748,
802
+ "quail": 85,
803
+ "quill, quill pen": 749,
804
+ "quilt, comforter, comfort, puff": 750,
805
+ "racer, race car, racing car": 751,
806
+ "racket, racquet": 752,
807
+ "radiator": 753,
808
+ "radio telescope, radio reflector": 755,
809
+ "radio, wireless": 754,
810
+ "rain barrel": 756,
811
+ "ram, tup": 348,
812
+ "rapeseed": 984,
813
+ "recreational vehicle, RV, R.V.": 757,
814
+ "red fox, Vulpes vulpes": 277,
815
+ "red wine": 966,
816
+ "red wolf, maned wolf, Canis rufus, Canis niger": 271,
817
+ "red-backed sandpiper, dunlin, Erolia alpina": 140,
818
+ "red-breasted merganser, Mergus serrator": 98,
819
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820
+ "redshank, Tringa totanus": 141,
821
+ "reel": 758,
822
+ "reflex camera": 759,
823
+ "refrigerator, icebox": 760,
824
+ "remote control, remote": 761,
825
+ "restaurant, eating house, eating place, eatery": 762,
826
+ "revolver, six-gun, six-shooter": 763,
827
+ "rhinoceros beetle": 306,
828
+ "rifle": 764,
829
+ "ringlet, ringlet butterfly": 322,
830
+ "ringneck snake, ring-necked snake, ring snake": 53,
831
+ "robin, American robin, Turdus migratorius": 15,
832
+ "rock beauty, Holocanthus tricolor": 392,
833
+ "rock crab, Cancer irroratus": 119,
834
+ "rock python, rock snake, Python sebae": 62,
835
+ "rocking chair, rocker": 765,
836
+ "rotisserie": 766,
837
+ "rubber eraser, rubber, pencil eraser": 767,
838
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839
+ "ruffed grouse, partridge, Bonasa umbellus": 82,
840
+ "rugby ball": 768,
841
+ "rule, ruler": 769,
842
+ "running shoe": 770,
843
+ "safe": 771,
844
+ "safety pin": 772,
845
+ "saltshaker, salt shaker": 773,
846
+ "sandal": 774,
847
+ "sandbar, sand bar": 977,
848
+ "sarong": 775,
849
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850
+ "scabbard": 777,
851
+ "scale, weighing machine": 778,
852
+ "schipperke": 223,
853
+ "school bus": 779,
854
+ "schooner": 780,
855
+ "scoreboard": 781,
856
+ "scorpion": 71,
857
+ "screen, CRT screen": 782,
858
+ "screw": 783,
859
+ "screwdriver": 784,
860
+ "scuba diver": 983,
861
+ "sea anemone, anemone": 108,
862
+ "sea cucumber, holothurian": 329,
863
+ "sea lion": 150,
864
+ "sea slug, nudibranch": 115,
865
+ "sea snake": 65,
866
+ "sea urchin": 328,
867
+ "seashore, coast, seacoast, sea-coast": 978,
868
+ "seat belt, seatbelt": 785,
869
+ "sewing machine": 786,
870
+ "shield, buckler": 787,
871
+ "shoe shop, shoe-shop, shoe store": 788,
872
+ "shoji": 789,
873
+ "shopping basket": 790,
874
+ "shopping cart": 791,
875
+ "shovel": 792,
876
+ "shower cap": 793,
877
+ "shower curtain": 794,
878
+ "siamang, Hylobates syndactylus, Symphalangus syndactylus": 369,
879
+ "sidewinder, horned rattlesnake, Crotalus cerastes": 68,
880
+ "silky terrier, Sydney silky": 201,
881
+ "ski": 795,
882
+ "ski mask": 796,
883
+ "skunk, polecat, wood pussy": 361,
884
+ "sleeping bag": 797,
885
+ "slide rule, slipstick": 798,
886
+ "sliding door": 799,
887
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888
+ "sloth bear, Melursus ursinus, Ursus ursinus": 297,
889
+ "slug": 114,
890
+ "snail": 113,
891
+ "snorkel": 801,
892
+ "snow leopard, ounce, Panthera uncia": 289,
893
+ "snowmobile": 802,
894
+ "snowplow, snowplough": 803,
895
+ "soap dispenser": 804,
896
+ "soccer ball": 805,
897
+ "sock": 806,
898
+ "soft-coated wheaten terrier": 202,
899
+ "solar dish, solar collector, solar furnace": 807,
900
+ "sombrero": 808,
901
+ "sorrel": 339,
902
+ "soup bowl": 809,
903
+ "space bar": 810,
904
+ "space heater": 811,
905
+ "space shuttle": 812,
906
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907
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908
+ "speedboat": 814,
909
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910
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911
+ "spindle": 816,
912
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913
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914
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915
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916
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917
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918
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919
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920
+ "standard schnauzer": 198,
921
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922
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923
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924
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925
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926
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927
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928
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929
+ "stone wall": 825,
930
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931
+ "stove": 827,
932
+ "strainer": 828,
933
+ "strawberry": 949,
934
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935
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936
+ "stretcher": 830,
937
+ "studio couch, day bed": 831,
938
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939
+ "sturgeon": 394,
940
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941
+ "suit, suit of clothes": 834,
942
+ "sulphur butterfly, sulfur butterfly": 325,
943
+ "sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita": 89,
944
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945
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946
+ "sunglasses, dark glasses, shades": 837,
947
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948
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949
+ "swab, swob, mop": 840,
950
+ "sweatshirt": 841,
951
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952
+ "swing": 843,
953
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954
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955
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956
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957
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958
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959
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960
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961
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962
+ "teddy, teddy bear": 850,
963
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964
+ "tench, Tinca tinca": 0,
965
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966
+ "terrapin": 36,
967
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968
+ "theater curtain, theatre curtain": 854,
969
+ "thimble": 855,
970
+ "three-toed sloth, ai, Bradypus tridactylus": 364,
971
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972
+ "throne": 857,
973
+ "thunder snake, worm snake, Carphophis amoenus": 52,
974
+ "tick": 78,
975
+ "tiger beetle": 300,
976
+ "tiger cat": 282,
977
+ "tiger shark, Galeocerdo cuvieri": 3,
978
+ "tiger, Panthera tigris": 292,
979
+ "tile roof": 858,
980
+ "timber wolf, grey wolf, gray wolf, Canis lupus": 269,
981
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982
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983
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984
+ "toilet seat": 861,
985
+ "toilet tissue, toilet paper, bathroom tissue": 999,
986
+ "torch": 862,
987
+ "totem pole": 863,
988
+ "toucan": 96,
989
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990
+ "toy poodle": 265,
991
+ "toy terrier": 158,
992
+ "toyshop": 865,
993
+ "tractor": 866,
994
+ "traffic light, traffic signal, stoplight": 920,
995
+ "trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi": 867,
996
+ "tray": 868,
997
+ "tree frog, tree-frog": 31,
998
+ "trench coat": 869,
999
+ "triceratops": 51,
1000
+ "tricycle, trike, velocipede": 870,
1001
+ "trifle": 927,
1002
+ "trilobite": 69,
1003
+ "trimaran": 871,
1004
+ "tripod": 872,
1005
+ "triumphal arch": 873,
1006
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1007
+ "trombone": 875,
1008
+ "tub, vat": 876,
1009
+ "turnstile": 877,
1010
+ "tusker": 101,
1011
+ "typewriter keyboard": 878,
1012
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1013
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1014
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1015
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1016
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1017
+ "vase": 883,
1018
+ "vault": 884,
1019
+ "velvet": 885,
1020
+ "vending machine": 886,
1021
+ "vestment": 887,
1022
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1023
+ "vine snake": 59,
1024
+ "violin, fiddle": 889,
1025
+ "vizsla, Hungarian pointer": 211,
1026
+ "volcano": 980,
1027
+ "volleyball": 890,
1028
+ "vulture": 23,
1029
+ "waffle iron": 891,
1030
+ "walking stick, walkingstick, stick insect": 313,
1031
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1032
+ "wallaby, brush kangaroo": 104,
1033
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1034
+ "wardrobe, closet, press": 894,
1035
+ "warplane, military plane": 895,
1036
+ "warthog": 343,
1037
+ "washbasin, handbasin, washbowl, lavabo, wash-hand basin": 896,
1038
+ "washer, automatic washer, washing machine": 897,
1039
+ "water bottle": 898,
1040
+ "water buffalo, water ox, Asiatic buffalo, Bubalus bubalis": 346,
1041
+ "water jug": 899,
1042
+ "water ouzel, dipper": 20,
1043
+ "water snake": 58,
1044
+ "water tower": 900,
1045
+ "weasel": 356,
1046
+ "web site, website, internet site, site": 916,
1047
+ "weevil": 307,
1048
+ "whippet": 172,
1049
+ "whiptail, whiptail lizard": 41,
1050
+ "whiskey jug": 901,
1051
+ "whistle": 902,
1052
+ "white stork, Ciconia ciconia": 127,
1053
+ "white wolf, Arctic wolf, Canis lupus tundrarum": 270,
1054
+ "wig": 903,
1055
+ "wild boar, boar, Sus scrofa": 342,
1056
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1057
+ "window shade": 905,
1058
+ "wine bottle": 907,
1059
+ "wing": 908,
1060
+ "wire-haired fox terrier": 188,
1061
+ "wok": 909,
1062
+ "wolf spider, hunting spider": 77,
1063
+ "wombat": 106,
1064
+ "wood rabbit, cottontail, cottontail rabbit": 330,
1065
+ "wooden spoon": 910,
1066
+ "wool, woolen, woollen": 911,
1067
+ "worm fence, snake fence, snake-rail fence, Virginia fence": 912,
1068
+ "wreck": 913,
1069
+ "yawl": 914,
1070
+ "yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum": 986,
1071
+ "yurt": 915,
1072
+ "zebra": 340,
1073
+ "zucchini, courgette": 939
1074
+ },
1075
+ "layer_norm_eps": 1e-06,
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+ "mlp_ratios": [
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1078
+ 4,
1079
+ 4,
1080
+ 4
1081
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1082
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+ 1,
1085
+ 2,
1086
+ 5,
1087
+ 8
1088
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1089
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1090
+ "num_encoder_blocks": 4,
1091
+ "patch_sizes": [
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+ 7,
1093
+ 3,
1094
+ 3,
1095
+ 3
1096
+ ],
1097
+ "reshape_last_stage": true,
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+ "semantic_loss_ignore_index": 0,
1099
+ "sr_ratios": [
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+ 4,
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+ 2,
1103
+ 1
1104
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1105
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1108
+ 2,
1109
+ 2
1110
+ ],
1111
+ "torch_dtype": "float32",
1112
+ "transformers_version": "4.48.2"
1113
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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