Dataset Versions

Versions
2022-06-09 12:59pm
v15
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2022-06-09 12:59pm
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v1
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v15

2022-06-09 12:59pm

Generated on Jun 9, 2022
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293 Total Images

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Dataset Split

Train Set 99%
291Images
Valid Set %
0Images
Test Set 1%
2Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

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°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 0.75px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 5% size each

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