Dataset Versions

v9

base

Generated on Aug 11, 2023

Dataset Split

Train Set 88%
1686Images
Valid Set 8%
158Images
Test Set 4%
81Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Grayscale: Apply to 25% of images
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels

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