Dataset Versions

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2024-09-18 4:19pm
v10
·
2 months ago
2024-08-27 6:32pm
v9
·
3 months ago
2024-08-27 6:29pm
v8
·
3 months ago
2024-08-27 6:26pm
v7
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3 months ago
2024-08-27 6:17pm
v6
·
3 months ago
2024-08-06 4:19pm
v4
·
4 months ago
2024-07-30 5:10pm
v3
·
4 months ago
2024-07-26 7:31pm
v2
·
4 months ago
2024-07-26 7:27pm
v1
·
4 months ago
v7

2024-08-27 6:26pm

Generated on Aug 27, 2024
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3 Total Images

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Dataset Image Dataset Image Dataset Image

Dataset Split

Train Set 100%
3Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Filter Null: Require at least 95% of images to contain annotations.
Filter by Tag: 4 required, 1 dropped

Augmentations

Outputs per training example: 3
Hue: Between -24° and +24°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 4.9px
Noise: Up to 1.96% of pixels

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