Dataset Versions

v1

2024-08-20 12:45am

Generated on Aug 20, 2024

Dataset Split

Train Set 94%
23051Images
Valid Set 4%
941Images
Test Set 2%
470Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 7
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 2 boxes with 10% size each

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