Dataset Versions
v1
2024-05-11 9:53pm
Generated on May 11, 2024
125609 Total Images
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Dataset Split
Train Set 91%
114688Images
Valid Set 4%
5463Images
Test Set 4%
5458Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (reflect edges) in 224x224
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 25% Maximum Zoom
Rotation: Between -13° and +13°
Shear: ±13° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Blur: Up to 2.5px
Noise: Up to 1.17% of pixels