Dataset Versions
v1
2023-06-18 4:41pm
Generated on Jun 18, 2023
4101 Total Images
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Dataset Split
Train Set 93%
3798Images
Valid Set 5%
224Images
Test Set 2%
79Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (white edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1px
Bounding Box: Noise: Up to 5% of pixels