pop Computer Vision Dataset
367 Total Images
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Dataset Split
Train Set 90%
330Images
Valid Set 10%
37Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 4% of images
Hue: Between -3° and +3°
Noise: Up to 0.02% of pixels