Dataset Versions
v4
2024-04-18 12:40am
Generated on Apr 17, 2024
71707 Total Images
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Dataset Split
Train Set 94%
67599Images
Valid Set 4%
2756Images
Test Set 2%
1352Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -10° and +10°
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 1.01% of pixels