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2023-03-18 6:11pm
v13
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2 years ago
2023-03-18 6:06pm
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2023-03-01 4:09am
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2023-02-28 7:11am
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2023-02-28 12:52am
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2023-02-28 12:48am
v8
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2023-02-26 9:54pm
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2 years ago
2023-02-23 4:20pm
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2023-02-23 4:17pm
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2023-02-23 3:14am
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2023-02-23 2:45am
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2023-02-23 2:38am
v2
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2023-02-23 2:28am
v1
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2 years ago
v1

2023-02-23 2:28am

Generated on Feb 22, 2023
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679 Total Images

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Dataset Split

Train Set 87%
594Images
Valid Set 8%
56Images
Test Set 4%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±23° Horizontal, ±20° Vertical
Grayscale: Apply to 25% of images
Hue: Between -73° and +73°
Saturation: Between -25% and +25%
Brightness: Between -42% and +42%
Exposure: Between -25% and +25%
Blur: Up to 10px
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each
Bounding Box: Flip: Applied

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