Dataset Versions
Versions
v1
2024-08-11 6:45am
Generated on Aug 11, 2024
1635 Total Images
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Dataset Split
Train Set 88%
1431Images
Valid Set 8%
135Images
Test Set 4%
69Images
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
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.5% of pixels
Cutout: 3 boxes with 10% size each