Dataset Versions

v1

2024-02-28 2:50pm

Generated on Feb 28, 2024

Dataset Split

Train Set 88%
405Images
Valid Set 8%
39Images
Test Set 4%
18Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Brightness: Between -15% and +15%
Exposure: Between -14% and +14%
Noise: Up to 0.61% of pixels

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