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