Dataset Versions

v2

2022-05-16 12:06am

Generated on May 15, 2022

Dataset Split

Train Set 94%
2559Images
Valid Set 6%
150Images
Test Set %
0Images

Preprocessing

Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -26° and +26°
Brightness: Between -9% and +9%
Exposure: Between -16% and +16%
Blur: Up to 5.25px
Noise: Up to 1% of pixels

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