Dataset Versions
Versions
v1
2024-08-13 7:16pm
Generated on Aug 13, 2024
8712 Total Images
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Dataset Split
Train Set 83%
7200Images
Valid Set 12%
1008Images
Test Set 6%
504Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 6 rows x 6 columns
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Noise: Up to 2.44% of pixels