Dataset Versions

Versions
2024-11-22 3:15pm
v14
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3 days ago
2024-11-22 3:05pm
v13
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3 days ago
2024-11-20 5:07pm
v12
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4 days ago
2024-11-20 5:04pm
v11
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4 days ago
2024-11-02 1:21pm
v10
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23 days ago
2024-11-01 12:57pm
v9
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24 days ago
2024-11-01 11:34am
v8
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24 days ago
2024-11-01 11:33am
v7
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24 days ago
2024-11-01 11:33am
v6
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24 days ago
2024-11-01 11:33am
v5
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24 days ago
2024-11-01 11:33am
v4
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24 days ago
2024-11-01 11:33am
v3
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24 days ago
2024-11-01 11:13am
v2
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24 days ago
2024-11-01 10:58am
v1
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24 days ago
v13

2024-11-22 3:05pm

Generated on Nov 22, 2024
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802 Total Images

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Dataset Split

Train Set 94%
750Images
Valid Set 6%
52Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 9-87% Horizontal Region, 5-90% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 3% Maximum Zoom
Grayscale: Apply to 15% of images
Hue: Between -20° and +20°
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 1.21% of pixels
Cutout: 4 boxes with 18% size each

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