Dataset Versions

v3

2024-11-18 3:18pm

Generated on Nov 18, 2024

Dataset Split

Train Set 88%
1278Images
Valid Set 8%
118Images
Test Set 4%
60Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -34% and +34%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4px
Noise: Up to 1.88% of pixels

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