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