Dataset Versions
v5
2023-06-05 5:22pm
Generated on Jun 5, 2023
1310 Total Images
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Dataset Split
Train Set 92%
1200Images
Valid Set 5%
65Images
Test Set 3%
45Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images