Dataset Versions
Versions
v1
2024-06-02 3:41pm
Generated on Jun 2, 2024
261 Total Images
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Dataset Split
Train Set 94%
245Images
Valid Set 6%
16Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 5
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±13° Vertical
Hue: Between -33° and +33°
Brightness: Between -42% and +42%
Exposure: Between -28% and +28%
Noise: Up to 0.69% of pixels