Dataset Versions

v2

2024-05-21 12:45pm

Generated on May 21, 2024

Dataset Split

Train Set 88%
972Images
Valid Set 8%
92Images
Test Set 4%
46Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -14% and +14%
Blur: Up to 1.3px

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