Dataset Versions
Versions
v1
2024-06-17 4:37pm
Generated on Jun 17, 2024
5776 Total Images
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Dataset Split
Train Set 87%
5052Images
Valid Set 8%
484Images
Test Set 4%
240Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels