Dataset Versions

v3

2024-07-05 6:02am

Generated on Jul 5, 2024

Dataset Split

Train Set 88%
1557Images
Valid Set 8%
149Images
Test Set 4%
72Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -13% and +13%
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Noise: Up to 0.1% of pixels

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