Dataset Versions

Versions
2023-07-04 12:43am
v7
·
2 years ago
2023-06-18 2:38pm
v6
·
2 years ago
2023-06-18 2:31pm
v5
·
2 years ago
2023-06-18 1:26am
v4
·
2 years ago
2023-06-03 12:45am
v3
·
2 years ago
2023-06-02 10:27am
v2
·
2 years ago
2023-05-29 4:38pm
v1
·
2 years ago
v2

2023-06-02 10:27am

Generated on Jun 2, 2023
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254 Total Images

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Dataset Split

Train Set 92%
234Images
Valid Set 4%
11Images
Test Set 4%
9Images

Preprocessing

Resize: Stretch to 1280x720
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Saturation: Between -25% and +25%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 10% of pixels

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