polpa Computer Vision Dataset
Versions
409 Total Images
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Dataset Split
Train Set 92%
378Images
Valid Set 4%
16Images
Test Set 4%
15Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -13° and +13°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Camera Gain: Variance: 0.08