Dataset Versions

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2023-04-13 2:18pm
v7
·
2 years ago
2023-03-24 6:17pm
v6
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2 years ago
2023-03-23 4:56pm
v5
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2 years ago
2023-03-23 4:49pm
v4
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2 years ago
2023-03-21 3:45pm
v3
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2 years ago
2023-03-21 12:13pm
v2
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2 years ago
2023-03-20 9:10pm
v1
·
2 years ago
v4

2023-03-23 4:49pm

Generated on Mar 23, 2023
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Dataset Split

Train Set 87%
501Images
Valid Set 8%
47Images
Test Set 5%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Hue: Between -25° and +25°
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Cutout: 3 boxes with 10% size each

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