Dataset Versions
v6
2023-08-03 6:47pm
Generated on Aug 3, 2023
2449 Total Images
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Dataset Split
Train Set 95%
2316Images
Valid Set 4%
103Images
Test Set 1%
30Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -4° and +4°
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Mosaic: Applied
Bounding Box: Blur: Up to 2.5px