Dataset Versions
Versions
v1
2024-07-05 7:32am
Generated on Jul 5, 2024
7100 Total Images
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Dataset Split
Train Set 87%
6210Images
Valid Set 8%
592Images
Test Set 4%
298Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -45° and +45°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 2.4px
Noise: Up to 1.76% of pixels
Mosaic: Applied