Dataset Versions
v1
2022-11-15 2:03pm
Generated on Nov 15, 2022
55 Total Images
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Dataset Split
Train Set 87%
48Images
Valid Set 13%
7Images
Test Set %
0Images
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°
Shear: ±45° Horizontal, ±45° Vertical
Grayscale: Apply to 100% of images
Hue: Between -180° and +180°
Saturation: Between -99% and +99%
Brightness: Between -23% and +23%
Exposure: Between -25% and +25%
Blur: Up to 4.75px
Noise: Up to 5% of pixels