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DawnC
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14 days ago
I'm excited to introduce VisionScout βan interactive vision tool that makes computer vision both accessible and powerful! ππ What can VisionScout do right now? πΌοΈ Upload any image and detect 80 different object types using YOLOv8. π Instantly switch between Nano, Medium, and XLarge models depending on your speed vs. accuracy needs. π― Filter specific classes (people, vehicles, animals, etc.) to focus only on what matters to you. π View detailed statistics about detected objects, confidence levels, and spatial distribution. π¨ Enjoy a clean, intuitive interface with responsive design and enhanced visualizations. What's next? I'm working on exciting updates: - Support for more models - Video processing and object tracking across frames - Faster real-time detection - Improved mobile responsiveness The goal is to build a complete but user-friendly vision toolkit for both beginners and advanced users. Try it yourself! π https://huggingface.co/spaces/DawnC/VisionScout I'd love to hear your feedback , what features would you find most useful? Any specific use cases you'd love to see supported? Give it a try and let me know your thoughts in the comments! Stay tuned for future updates. #ComputerVision #ObjectDetection #YOLO #MachineLearning #TechForLife
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andito
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5 months ago
Let's go! We are releasing SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs. - SmolVLM generates tokens 7.5 to 16 times faster than Qwen2-VL! π€― - Other models at this size crash a laptop, but SmolVLM comfortably generates 17 tokens/sec on a macbook! π - SmolVLM can be fine-tuned on a Google collab! Or process millions of documents with a consumer GPU! - SmolVLM even outperforms larger models in video benchmarks, despite not even being trained on videos! Check out more! Demo: https://huggingface.co/spaces/HuggingFaceTB/SmolVLM Blog: https://huggingface.co/blog/smolvlm Model: https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct Fine-tuning script: https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb
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