Dataset Versions
v1
2023-11-28 9:57am
Generated on Nov 28, 2023
23708 Total Images
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Dataset Split
Train Set 91%
21585Images
Valid Set 6%
1458Images
Test Set 3%
665Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 6 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied