Dataset Versions

v1

2022-12-12 4:04pm

Generated on Dec 12, 2022

Dataset Split

Train Set 87%
3705Images
Valid Set 8%
353Images
Test Set 4%
177Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Exposure: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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