eschan145

Ultralytics 8.4.41  Python-3.11.9 torch-2.5.1+cu121 CUDA:0 (NVIDIA GeForce RTX 3050 Ti Laptop GPU, 4096MiB)
YOLO26n summary (fused): 122 layers, 2,408,932 parameters, 0 gradients, 5.4 GFLOPs
val: Fast image access  (ping: 0.10.0 ms, read: 1581.5305.6 MB/s, size: 217.8 KB)
val: Scanning C:\dev\imaging\dataset\labels.cache... 1107 images, 848 backgrounds, 0 corrupt: 100% ━━━━━━━━━━━━ 1107/1107  0.0s
                 Class     Images  Instances      Box(P          R      mAP50  mAP50-95): 100% ━━━━━━━━━━━━ 70/70 10.6it/s 6.6s
                   all       1107        372      0.808      0.316      0.359      0.202
Speed: 0.6ms preprocess, 2.6ms inference, 0.0ms loss, 0.3ms postprocess per image
Results saved to C:\dev\imaging\runs\detect\val-13