Dataset Versions
v1
2024-04-29 10:07pm
Generated on Apr 29, 2024
7132 Total Images
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Dataset Split
Train Set 94%
6720Images
Valid Set 4%
275Images
Test Set 2%
137Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black 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, ±7° Vertical
Grayscale: Apply to 15% of images
Blur: Up to 2.5px
Noise: Up to 0.97% of pixels