Dataset Versions

Versions
2023-04-07 9:07pm
v20
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2 years ago
2023-04-07 9:06pm
v19
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2 years ago
2023-04-07 9:05pm
v18
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2 years ago
2023-04-07 8:43pm
v17
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2 years ago
2023-04-07 8:40pm
v16
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2 years ago
2023-04-07 8:36pm
v15
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2 years ago
2023-04-07 8:32pm
v14
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2 years ago
2023-04-07 8:30pm
v13
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2 years ago
2023-04-07 8:26pm
v12
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2 years ago
2023-04-07 8:24pm
v11
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2 years ago
2023-04-07 8:22pm
v10
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2 years ago
2023-04-07 8:21pm
v9
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2 years ago
2023-04-07 8:20pm
v8
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2 years ago
2023-04-07 8:18pm
v7
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2 years ago
2023-04-07 8:17pm
v6
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2 years ago
2023-04-07 8:15pm
v5
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2 years ago
2023-04-07 8:06pm
v4
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2 years ago
2023-04-07 8:01pm
v3
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2 years ago
2023-04-07 8:00pm
v2
·
2 years ago
2023-04-07 7:57pm
v1
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2 years ago
v7

2023-04-07 8:18pm

Generated on Apr 7, 2023
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564 Total Images

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Dataset Split

Train Set 95%
534Images
Valid Set %
0Images
Test Set 5%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 5% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%

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