Sparepart_classification Computer Vision Dataset
256 Total Images
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Dataset Split
Train Set 88%
225Images
Valid Set 8%
20Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 400x400
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 50% of images
Hue: Between -180° and +180°
Exposure: Between -18% and +18%