Dataset Versions
v1
2024-08-07 8:04am
Generated on Aug 7, 2024
4444 Total Images
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Dataset Split
Train Set 87%
3888Images
Valid Set 8%
372Images
Test Set 4%
184Images
Preprocessing
Auto-Orient: Applied
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°
Saturation: Between -32% and +32%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.89% of pixels