Dataset Versions
v1
2023-05-27 3:46pm
Generated on May 27, 2023
263 Total Images
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Dataset Split
Train Set 87%
228Images
Valid Set 8%
21Images
Test Set 5%
14Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Grayscale: Applied
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 10% of images