Dataset Versions
v2
Latest
Generated on Jul 30, 2024
2760 Total Images
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Dataset Split
Train Set 88%
2415Images
Valid Set 8%
230Images
Test Set 4%
115Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Rotation: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels