Dataset Versions
v4
2024-04-03 3:47pm
Generated on Apr 3, 2024
2466 Total Images
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Dataset Split
Train Set 88%
2160Images
Valid Set 5%
126Images
Test Set 7%
180Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 3 rows x 3 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.13% of pixels