Dataset Versions
Versions
v1
2023-01-15 7:29pm
Generated on Jan 15, 2023
84 Total Images
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Dataset Split
Train Set 96%
81Images
Valid Set 2%
2Images
Test Set 1%
1Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±9° Horizontal, ±3° Vertical
Brightness: Between -47% and +47%
Noise: Up to 5% of pixels
Cutout: 25 boxes with 4% size each