Dataset Versions
Versions
v1
2022-11-15 1:48pm
Generated on Nov 15, 2022
55 Total Images
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Dataset Split
Train Set 87%
48Images
Valid Set 9%
5Images
Test Set 4%
2Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Blur: Up to 4.25px
Noise: Up to 5% of pixels