Dataset Versions
Versions
v1
2023-11-29 4:02pm
Generated on Nov 29, 2023
123 Total Images
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Dataset Split
Train Set 88%
108Images
Valid Set 8%
10Images
Test Set 4%
5Images
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°
Grayscale: Apply to 100% of images
Hue: Between -90° and +90°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 0.75px