MBARI-org/yolo11x-uavs-detect

UAVS model trained on all verified object classes, collapsed to only one class - object.

Acts as object detector to feed detection stage of a pipeline

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

40 epochs

Class all

Images 1170 Instances 1259

P 0.58277 R 0.51191 mAP50 0.54094

mAP50-95 0.36189

Speed: 0.1ms preprocess, 3.7ms inference, 0.0ms loss, 0.9ms postprocess per image