Dataset Versions
v6
2022-07-24 12:15am
Generated on Jul 24, 2022
3597 Total Images
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Dataset Split
Train Set 87%
3147Images
Valid Set 8%
300Images
Test Set 4%
150Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 1280x1280
Modify Classes: 61 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical