Dataset Versions

v6

2023-09-23 4:16am

Generated on Sep 23, 2023

Dataset Split

Train Set 92%
342Images
Valid Set 6%
24Images
Test Set 1%
5Images

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
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Noise: Up to 1% of pixels
Cutout: 10 boxes with 10% size each
Bounding Box: Flip: Horizontal
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Rotation: Between -8° and +8°
Bounding Box: Exposure: Between -36% and +36%
Bounding Box: Noise: Up to 5% of pixels

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