Dataset Versions

v1

2024-06-01 12:13am

Generated on May 31, 2024

Dataset Split

Train Set 87%
111Images
Valid Set 9%
11Images
Test Set 4%
5Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Noise: Up to 0.1% of pixels

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