Dataset Versions
v2
2024-10-27 6:55am
Generated on Oct 27, 2024
5286 Total Images
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Dataset Split
Train Set 88%
4629Images
Valid Set 8%
437Images
Test Set 4%
220Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Blur: Up to 1.7px
Noise: Up to 1.41% of pixels
Bounding Box: Flip: Horizontal, Vertical