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uav-yolov11x-jelly

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- license: mit
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+ license: mit
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+ ---
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+ UAVS model trained on only one class - jellys.
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+ Ultralytics 8.3.62 Python-3.11.11 torch-2.5.1+cu121 CUDA:0 (NVIDIA A100-SXM4-40GB, 40514MiB)
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+ YOLO11x summary (fused): 464 layers, 56,828,179 parameters, 0 gradients, 194.4 GFLOPs
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+ Class Images Instances Box(P R mAP50 mAP50-95): 100% 37/37 [00:08<00:00, 4.30it/s]
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+ all 1170 1259 0.825 0.739 0.822 0.417
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+ Speed: 0.1ms preprocess, 3.7ms inference, 0.0ms loss, 0.9ms postprocess per image
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646c0da73e2a7b06594ab85d/LBmg4J__QkHaZiGFAysgd.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646c0da73e2a7b06594ab85d/vJGQJGY17obYYWhowHH8A.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646c0da73e2a7b06594ab85d/bvA12YWAYclxxneSc46GE.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/646c0da73e2a7b06594ab85d/alkalzCH5Qk5ksmB8ubeY.png)