Dataset Versions

v4

2024-04-13 11:35pm

Generated on Apr 13, 2024

Dataset Split

Train Set 93%
705Images
Valid Set 5%
39Images
Test Set 2%
16Images

Preprocessing

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

Augmentations

Outputs per training example: 5
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels

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