Dataset Versions

v1

2024-04-13 12:07am

Generated on Apr 12, 2024

Dataset Split

Train Set 95%
335Images
Valid Set 5%
17Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 225x225
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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