Dataset Versions
v3
2024-04-01 11:05am
Generated on Apr 1, 2024
303 Total Images
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Dataset Split
Train Set 100%
303Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 37% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±36° Horizontal, ±45° Vertical
Brightness: Between -3% and +3%
Exposure: Between -9% and +9%
Blur: Up to 0.9px
Noise: Up to 1.21% of pixels