Dataset Versions
v2
2022-10-01 2:19pm
Generated on Oct 1, 2022
311 Total Images
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Dataset Split
Train Set 78%
243Images
Valid Set 22%
68Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 128x128
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 15% of images
Hue: Between -25° and +25°
Saturation: Between -22% and +22%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 0.75px
Noise: Up to 6% of pixels