brix_tomato_WDA Computer Vision Model
6675 Total Images
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Dataset Split
Train Set 88%
5841Images
Valid Set 8%
556Images
Test Set 4%
278Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Noise: Up to 0.73% of pixels