Dataset Versions
v1
2023-10-28 7:46pm
Generated on Oct 28, 2023
5770 Total Images
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Dataset Split
Train Set 89%
5157Images
Valid Set 7%
410Images
Test Set 4%
203Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 3% of pixels
Mosaic: Applied