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README.md
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<p align="center">
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<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b95b1cfd-4ab9-4e79-a1f7-f5bf7acd3564/original=true,quality=90/ComfyUI_01346_.jpeg" alt="CivitFish" width="
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---
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<p align="center">
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<img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/b95b1cfd-4ab9-4e79-a1f7-f5bf7acd3564/original=true,quality=90/ComfyUI_01346_.jpeg" alt="CivitFish" width="200"/>
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</p>
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# Hed2CoralReef_Annotation Dataset
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## Overview
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This dataset contains 801 SDXL-generated coral reef images and their associated Holistically-Nested Edge Detections (HED). The robot images were created using (SDXL)[https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0] and the Underwater Environment v01 lora by PrivateHindsight on CivitAi: [PrivateHindsight/Underwater_Environment_v01](https://civitai.com/models/561874?modelVersionId=625879)
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## Dataset Contents
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- 801 robot images generated with Animagine XL 4.0
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- 801 corresponding Holistically-Nested Edge Detection maps created with this great implementation with pytorch by sniklaus: (sniklaus/pytorch-hed)https://github.com/sniklaus/pytorch-hed
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- Paired data suitable for image-to-image translation tasks
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## Use Cases
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This dataset is designed for:
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- Training HED 2 Image cycleGAN models with my dataset annotators, training notebooks, & inference tools at (Leoleojames1/CycleGANControlNet2Anything)[https://github.com/Leoleojames1/CycleGANControlNet2Anything]
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## Citation
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If you use this dataset in your research, please cite:
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```
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@misc{borcherding2025depth2anything,
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title={Hed2CoralReef Annotations},
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author={Borcherding},
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year={2025},
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howpublished={\url{https://huggingface.co/datasets/Borcherding/Hed2CoralReef_Annotation}}
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}
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```
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## Model Attributions
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When using this dataset, please also cite the original models:
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**Animagine XL 4.0**:
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```
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@misc{SDXL,
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title={Underwater Environment v01},
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author={StabilityAI},
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year={2025},
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howpublished={\url{https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0}}
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}
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```
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**pytorch-hed**:
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```
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@misc{pytorch-hed,
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author = {Simon Niklaus},
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title = {A Reimplementation of {HED} Using {PyTorch}},
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year = {2018},
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howpublished = {\url{https://github.com/sniklaus/pytorch-hed}}
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}
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```
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**Holistically-Nested Edge Detection**:
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```
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@inproceedings{Xie_ICCV_2015,
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author = {Saining Xie and Zhuowen Tu},
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title = {Holistically-Nested Edge Detection},
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booktitle = {IEEE International Conference on Computer Vision},
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year = {2015}
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}
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```
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