Dataset Versions
Versions
v1
2024-11-02 7:37am
Generated on Nov 2, 2024
1864 Total Images
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Dataset Split
Train Set 91%
1704Images
Valid Set 6%
108Images
Test Set 3%
52Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Mosaic: Applied
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise
Bounding Box: Noise: Up to 5.01% of pixels