Dataset Versions

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Versions
2023-09-19 3:34pm
v6
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a year ago
2023-09-19 2:50pm
v5
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a year ago
2023-09-18 5:05pm
v4
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a year ago
2023-09-18 4:56pm
v3
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a year ago
2023-09-18 3:06pm
v2
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a year ago
2023-09-18 3:03pm
v1
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a year ago
v4

2023-09-18 5:05pm

Generated on Sep 18, 2023
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Dataset Split

Train Set 88%
150Images
Valid Set 8%
14Images
Test Set 4%
7Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Blur: Up to 2.5px
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -15° and +15°
Bounding Box: Exposure: Between -25% and +25%

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