camera2 Dataset

v12

v3

Generated on Feb 16, 2023

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Dataset Split

Train Set 95%
156Images
Valid Set %
0Images
Test Set 5%
9Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -33° and +33°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -26% and +26%
Brightness: Between -50% and +50%
Blur: Up to 2.25px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 10% size each

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