Dataset Versions
v2
2024-09-29 5:44am
Generated on Sep 29, 2024
2120 Total Images
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Dataset Split
Train Set 88%
1857Images
Valid Set 6%
132Images
Test Set 6%
131Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 0.1% of pixels