Dataset Versions

v1

2024-02-17 8:47pm

Generated on Feb 17, 2024

Dataset Split

Train Set 87%
9573Images
Valid Set 8%
912Images
Test Set 4%
456Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Blur: Up to 2.5px

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