Dataset Versions
v2
2024-03-29 1:10am
Generated on Mar 28, 2024
14649 Total Images
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Dataset Split
Train Set 86%
12671Images
Valid Set 9%
1321Images
Test Set 4%
657Images
Preprocessing
Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 12-96% Vertical Region
Resize: Fill (with center crop) in 299x299
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down