Dataset Versions
v2
2024-01-17 1:26pm
Generated on Jan 17, 2024
7380 Total Images
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Dataset Split
Train Set 87%
6453Images
Valid Set 8%
621Images
Test Set 4%
306Images
Preprocessing
Auto-Orient: Applied
Static Crop: 27-90% Horizontal Region, 17-67% Vertical Region
Resize: Stretch to 240x240
Tile: 3 rows x 3 columns
Modify Classes: 2 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±15° Horizontal, ±15° Vertical
Noise: Up to 0.85% of pixels