Dataset Versions

v13

2023-02-06 4:03pm

Generated on Feb 6, 2023

Dataset Split

Train Set 86%
2184Images
Valid Set 10%
258Images
Test Set 3%
87Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -30° and +30°
Shear: ±20° Horizontal, ±15° Vertical
Brightness: Between 0% and +38%
Noise: Up to 3% of pixels

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