Dataset Versions
v2
2023-06-26 10:18am
Generated on Jun 26, 2023
716 Total Images
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Dataset Split
Train Set 87%
624Images
Valid Set 8%
60Images
Test Set 4%
32Images
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
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -35% and +35%
Exposure: Between -50% and +50%
Cutout: 5 boxes with 10% size each