Dataset Versions
Versions
v1
2023-04-09 4:36am
Generated on Apr 8, 2023
3800 Total Images
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Dataset Split
Train Set 88%
3348Images
Valid Set 7%
278Images
Test Set 5%
174Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 227x227
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images