Dataset Versions

v1

2021-10-21 10:06am

Generated on Oct 21, 2021

Dataset Split

Train Set 87%
405Images
Valid Set 8%
39Images
Test Set 4%
19Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Shear: ±36° Horizontal, ±0° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 11% of pixels

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