Ultralytics 8.3.89 🚀 Python-3.11.11 torch-2.5.1+cu124 CUDA:0 (Tesla T4, 15095MiB) Model summary (fused): 72 layers, 3,006,233 parameters, 0 gradients, 8.1 GFLOPs
val: Scanning /content/drive/MyDrive/nutri-ai/datasets/test/labels.cache... 192 images, 1 backgrounds, 0 corrupt: 100%|██████████| 193/193 [00:00<?, ?it/s] Class Images Instances Box(P R mAP50 mAP50-95): 100%|██████████| 13/13 [00:04<00:00, 3.12it/s]
all 193 211 0.96 0.889 0.944 0.65
kewadatsi 76 76 0.972 0.915 0.976 0.67
emadatsi 84 85 0.998 0.953 0.984 0.728
rice 43 50 0.91 0.8 0.871 0.553
finetuned on yolov8 on three classes: emadatsi, kewadatsi and rice