Dataset Versions
v3
2024-12-02 1:15pm
Generated on Dec 2, 2024
316 Total Images
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Dataset Split
Train Set 93%
294Images
Valid Set 5%
17Images
Test Set 2%
5Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -15° and +15°
Saturation: Between -30% and +30%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%