Dataset Versions
v2
2023-07-31 11:11am
Generated on Jul 31, 2023
604 Total Images
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Dataset Split
Train Set 88%
531Images
Valid Set 8%
49Images
Test Set 4%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Grayscale: Apply to 88% of images
Saturation: Between -44% and +44%
Brightness: Between -16% and +16%
Blur: Up to 8px
Noise: Up to 1% of pixels
Mosaic: Applied
Bounding Box: Brightness: Between -15% and +15%