Dataset Versions
v2
2023-11-19 12:27pm
Generated on Nov 19, 2023
4403 Total Images
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Dataset Split
Train Set 97%
4256Images
Valid Set 2%
101Images
Test Set 1%
46Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±8° Horizontal, ±8° Vertical
Hue: Between -20° and +20°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.25px
Noise: Up to 2% of pixels