Dataset Versions
Versions
v1
2023-10-16 6:16pm
Generated on Oct 16, 2023
264 Total Images
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Dataset Split
Train Set 95%
252Images
Valid Set 3%
8Images
Test Set 2%
4Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%