Dataset Versions

v2

2024-10-29 6:46am

Generated on Oct 29, 2024

Dataset Split

Train Set 88%
285Images
Valid Set 8%
27Images
Test Set 4%
13Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Exposure: Between -10% and +10%
Noise: Up to 10% of pixels
Bounding Box: Brightness: Between -15% and +15%

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