Dataset Versions

Versions
2024-03-21 7:09pm
v15
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9 months ago
2024-03-21 7:07pm
v14
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9 months ago
2024-03-21 7:06pm
v13
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9 months ago
2024-03-21 7:05pm
v12
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9 months ago
2024-03-21 7:04pm
v11
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9 months ago
2024-03-21 7:03pm
v10
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9 months ago
2024-03-21 7:02pm
v9
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9 months ago
2024-03-21 7:01pm
v8
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9 months ago
2024-03-21 7:01pm
v7
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9 months ago
2024-03-21 7:00pm
v6
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9 months ago
2024-03-21 6:58pm
v5
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9 months ago
2024-03-21 6:57pm
v4
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9 months ago
2024-03-21 6:56pm
v3
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9 months ago
2024-03-21 6:56pm
v2
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9 months ago
2024-03-21 6:54pm
v1
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9 months ago
v9

2024-03-21 7:02pm

Generated on Mar 21, 2024
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899 Total Images

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Dataset Split

Train Set 90%
807Images
Valid Set %
0Images
Test Set 10%
92Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Hue: Between -20° and +20°
Brightness: Between -20% and +20%
Noise: Up to 0.1% of pixels

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