Dataset Versions
v1
2023-04-18 9:43pm
Generated on Apr 18, 2023
7552 Total Images
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Dataset Split
Train Set 88%
6621Images
Valid Set 8%
615Images
Test Set 4%
316Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Brightness: Between -34% and +34%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 4% of pixels