Dataset Versions

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Versions
2023-07-04 3:39pm
v4
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a year ago
2023-05-21 10:35am
v3
·
2 years ago
2023-05-20 2:50pm
v2
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2 years ago
2023-04-26 4:49pm
v1
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2 years ago
v3

2023-05-21 10:35am

Generated on May 21, 2023
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1468 Total Images

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Dataset Split

Train Set 87%
1278Images
Valid Set 9%
130Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 10 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels
Mosaic: Applied

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