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dronefreak/UAVid-2020
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UAVid Semantic Segmentation Model Zoo
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🚀 Excited to open-source the **UAVid Semantic Segmentation Model Zoo** on Hugging Face. This release includes: * 📦 A **YOLO-compatible mirror** of the UAVid semantic segmentation dataset, preserving the original train/val/test splits while reorganizing the directory structure for plug-and-play use with modern training pipelines. * 🤖 Multiple **YOLO26 semantic segmentation models** trained on UAVid, spanning Nano through Medium variants. * 📊 Detailed model cards with evaluation metrics, per-class IoU, confusion matrices, qualitative results, and training configurations for reproducibility. The goal is to make benchmarking and experimenting with aerial semantic segmentation easier by providing ready-to-use datasets and pretrained models in a consistent format. If you're working on UAV perception, autonomous drones, robotics, remote sensing, or real-time semantic segmentation, I hope these resources are useful. **📦 Dataset:** https://huggingface.co/datasets/dronefreak/UAVid-2020 **🤖 Model Collection:** https://huggingface.co/collections/dronefreak/uavid-semantic-segmentation-model-zoo Feedback, bug reports, and contributions are always welcome.
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