Dataset Versions
v3
2024-02-17 9:52am
Generated on Feb 17, 2024
7354 Total Images
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Dataset Split
Train Set 88%
6435Images
Valid Set 8%
613Images
Test Set 4%
306Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -40% and +40%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels