Dataset Versions
v4
2023-08-03 11:54am
Generated on Aug 3, 2023
1400 Total Images
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Dataset Split
Train Set 88%
1230Images
Valid Set 8%
114Images
Test Set 4%
56Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 88% of images
Saturation: Between -44% and +44%
Brightness: Between -16% and +16%
Blur: Up to 8px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -15% and +15%