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README.md
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@@ -98,7 +98,9 @@ The following augmentations were applied during training to simulate real-world
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## Evaluation Results
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### Comprehensive Metrics
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All files from
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containing 9,825 instances across all 17 classes. The model demonstrates
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strong performance across all metrics, achieving near-perfect precision
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and recall with a mAP50 of 0.992.
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| mAP50 | 0.992 |
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| mAP50-95 | 0.862 |
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###
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## Evaluation Results
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### Comprehensive Metrics
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All files outputted from the 'runs\detect\train' folder are provided in the
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file section.
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The model was evaluated on a held-out test set of 1,928 images
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containing 9,825 instances across all 17 classes. The model demonstrates
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strong performance across all metrics, achieving near-perfect precision
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and recall with a mAP50 of 0.992.
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| mAP50 | 0.992 |
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| mAP50-95 | 0.862 |
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### Per-Class Breakdown
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| Class | Test Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
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| ---------------- | ----------- | --------- | --------- | ------ | ----- | -------- |
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| **all** | **1,928** | **9,825** | **0.989** | **0.985** | **0.992** | **0.862** |
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| alcohol | 252 | 503 | 0.996 | 0.986 | 0.995 | 0.864 |
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| candy | 257 | 502 | 0.988 | 0.980 | 0.990 | 0.815 |
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| canned\_food | 252 | 545 | 0.982 | 0.996 | 0.990 | 0.877 |
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| chocolate | 360 | 700 | 0.982 | 0.984 | 0.993 | 0.833 |
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| dessert | 389 | 819 | 0.995 | 0.991 | 0.995 | 0.881 |
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| dried\_food | 244 | 415 | 0.982 | 0.993 | 0.995 | 0.877 |
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| dried\_fruit | 263 | 516 | 0.986 | 0.986 | 0.995 | 0.887 |
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| drink | 360 | 796 | 0.982 | 0.990 | 0.994 | 0.871 |
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| gum | 183 | 360 | 0.989 | 0.979 | 0.991 | 0.812 |
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| instant\_drink | 271 | 554 | 0.984 | 0.982 | 0.994 | 0.886 |
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| instant\_noodles | 302 | 614 | 0.989 | 0.997 | 0.995 | 0.888 |
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| milk | 256 | 491 | 0.996 | 0.990 | 0.994 | 0.859 |
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| personal\_hygiene| 255 | 506 | 0.990 | 0.982 | 0.994 | 0.854 |
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| puffed\_food | 324 | 654 | 0.996 | 1.000 | 0.995 | 0.907 |
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| seasoner | 302 | 572 | 0.986 | 0.965 | 0.993 | 0.849 |
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| stationery | 162 | 300 | 0.986 | 0.957 | 0.972 | 0.785 |
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| tissue | 482 | 978 | 0.999 | 0.994 | 0.995 | 0.909 |
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