Dataset Versions

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2023-09-18 4:46am
v7
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a year ago
2023-09-06 3:13am
v6
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a year ago
2023-09-06 2:55am
v5
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a year ago
2023-09-06 2:50am
v4
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a year ago
2023-08-23 2:57am
v3
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a year ago
2023-08-23 2:54am
v2
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a year ago
2023-08-23 2:31am
v1
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a year ago
v4

2023-09-06 2:50am

Generated on Sep 5, 2023
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Dataset Split

Train Set 81%
57Images
Valid Set 10%
7Images
Test Set 9%
6Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 43% Maximum Zoom
Rotation: Between -24° and +24°
Shear: ±31° Horizontal, ±36° Vertical
Grayscale: Apply to 100% of images
Hue: Between -25° and +25°
Saturation: Between -28% and +28%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 5% size each
Mosaic: Applied

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