Dataset Versions

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Versions
2024-08-16 9:54am
v11
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3 months ago
2024-08-16 8:25am
v10
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3 months ago
2024-08-14 1:44pm
v9
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3 months ago
2024-08-12 2:11pm
v8
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3 months ago
2024-08-12 10:31am
v7
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3 months ago
2024-08-08 10:34am
v6
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3 months ago
2024-08-08 7:47am
v5
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3 months ago
2024-08-07 1:20pm
v4
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3 months ago
2024-08-07 12:09pm
v3
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3 months ago
2024-08-07 9:35am
v2
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3 months ago
v4

2024-08-07 1:20pm

Generated on Aug 7, 2024
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120 Total Images

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Dataset Split

Train Set 88%
105Images
Valid Set 8%
10Images
Test Set 4%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%

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