Dataset Versions

Versions
2024-08-27 1:14pm
v24
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3 months ago
2024-08-27 1:13pm
v23
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3 months ago
2024-08-27 1:13pm
v22
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3 months ago
2024-08-27 1:12pm
v21
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3 months ago
2024-08-27 1:12pm
v20
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3 months ago
2024-08-27 1:12pm
v19
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3 months ago
2024-08-27 1:11pm
v18
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3 months ago
2024-08-27 1:11pm
v17
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3 months ago
2024-08-27 1:10pm
v16
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3 months ago
2024-08-27 1:09pm
v15
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3 months ago
2024-08-27 1:09pm
v14
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3 months ago
2024-08-27 1:09pm
v13
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3 months ago
2024-08-27 1:07pm
v12
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3 months ago
2024-08-27 1:07pm
v11
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3 months ago
v19

2024-08-27 1:12pm

Generated on Aug 27, 2024
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23 Total Images

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Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 91%
21Images
Valid Set 9%
2Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 7% of images
Hue: Between -0° and +0°
Saturation: Between -6% and +6%
Brightness: Between -5% and +5%
Exposure: Between -9% and +9%
Blur: Up to 1.1px
Noise: Up to 0.18% of pixels
Bounding Box: Blur: Up to 10.3px

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