Dataset Versions
Versions
v1
2023-10-11 6:22pm
Generated on Oct 11, 2023
15360 Total Images
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Dataset Split
Train Set 88%
13440Images
Valid Set 8%
1280Images
Test Set 4%
640Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1080x1080
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 30% of images
Hue: Between -89° and +89°
Saturation: Between -70% and +70%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1px