Dataset Versions

Versions
2023-08-10 1:23pm
v1
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a year ago
v1

2023-08-10 1:23pm

Generated on Aug 10, 2023
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3000 Total Images

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Dataset Split

Train Set 100%
3000Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256

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 -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Brightness: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 20% size each

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