Dataset Versions
v2
2023-12-19 8:02pm
Generated on Dec 19, 2023
1250 Total Images
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Dataset Split
Train Set 39%
492Images
Valid Set 30%
379Images
Test Set 30%
379Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Saturation: Between -15% and +15%
Brightness: Between -22% and +22%
Blur: Up to 1px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Blur: Up to 1.5px