Dataset Versions

v1

2024-07-15 7:01am

Generated on Jul 15, 2024

Dataset Split

Train Set 97%
279Images
Valid Set 3%
10Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Hue: Between -21° and +21°
Exposure: Between -13% and +13%
Blur: Up to 1.1px
Noise: Up to 1.84% of pixels

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