Dataset Versions

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2024-02-19 4:52pm
v8
·
10 months ago
2024-02-17 6:38pm
v7
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10 months ago
2024-02-17 6:26pm
v6
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10 months ago
2024-02-17 3:33pm
v5
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10 months ago
2024-02-16 4:05pm
v4
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10 months ago
2024-02-16 3:39pm
v3
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10 months ago
2024-02-16 3:38pm
v2
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10 months ago
Version 1
v1
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10 months ago
v6

2024-02-17 6:26pm

Generated on Feb 17, 2024
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622 Total Images

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Dataset Split

Train Set 96%
597Images
Valid Set 4%
25Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Saturation: Between -25% and +25%
Noise: Up to 0.1% of pixels

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