Dataset Versions

Versions
2023-07-27 5:30pm
v1
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a year ago
v1

2023-07-27 5:30pm

Generated on Jul 27, 2023
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Dataset Split

Train Set 87%
300Images
Valid Set 8%
29Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -50° and +50°
Brightness: Between -51% and +51%
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 10% of pixels
Cutout: 10 boxes with 10% size each

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