Dataset Versions
v7
2023-08-16 1:47pm
Generated on Aug 16, 2023
2389 Total Images
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Dataset Split
Train Set 93%
2226Images
Valid Set 5%
121Images
Test Set 2%
42Images
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