Dataset Versions
v2
2024-08-13 8:35am
Generated on Aug 13, 2024
3944 Total Images
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Dataset Split
Train Set 88%
3456Images
Valid Set 8%
328Images
Test Set 4%
160Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -15° and +15°
Brightness: Between -20% and +20%
Blur: Up to 2.5px
Noise: Up to 0.22% of pixels