Dataset Versions
v1
2024-01-20 12:25pm
Generated on Jan 20, 2024
7247 Total Images
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Dataset Split
Train Set 93%
6765Images
Valid Set 4%
323Images
Test Set 2%
159Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -43° and +43°
Shear: ±16° Horizontal, ±16° Vertical
Blur: Up to 3.3px
Noise: Up to 5.09% of pixels
Cutout: 3 boxes with 15% size each