Dataset Versions

v1

2024-10-01 5:32am

Generated on Oct 1, 2024

Dataset Split

Train Set 87%
327Images
Valid Set 9%
32Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Grayscale: Apply to 15% of images
Exposure: Between -8% and +8%
Noise: Up to 1.6% of pixels
Cutout: 4 boxes with 13% size each

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