Dataset Versions
v2
2023-09-20 1:13pm
Generated on Sep 20, 2023
17416 Total Images
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Dataset Split
Train Set 88%
15240Images
Valid Set 6%
1088Images
Test Set 6%
1088Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 1% of pixels
Mosaic: Applied