Dataset Versions
v2
augmented
Generated on Nov 21, 2023
3667 Total Images
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Dataset Split
Train Set 82%
3000Images
Valid Set 13%
467Images
Test Set 5%
200Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 20% of images
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Cutout: 3 boxes with 10% size each