Dataset Versions
v6
2023-09-11 9:26pm
Generated on Sep 11, 2023
1023 Total Images
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Dataset Split
Train Set 85%
873Images
Valid Set 9%
94Images
Test Set 5%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -12% and +12%
Exposure: Between -25% and +25%
Blur: Up to 2.5px