Dataset Versions

Versions
2022-08-19 9:45pm
v8
·
2 years ago
2022-08-18 4:36pm
v7
·
2 years ago
2022-08-13 8:27pm
v6
·
2 years ago
2022-08-06 4:02pm
v5
·
2 years ago
2022-08-02 2:14am
v4
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2 years ago
2022-08-01 4:16pm
v3
·
2 years ago
2022-08-01 3:35pm
v2
·
2 years ago
2022-08-01 4:38am
v1
·
2 years ago
v3

2022-08-01 4:16pm

Generated on Aug 1, 2022
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6221 Total Images

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Dataset Split

Train Set 86%
5379Images
Valid Set 10%
631Images
Test Set 3%
211Images

Preprocessing

Modify Classes: 0 remapped, 1 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 1% of images
Saturation: Between -1% and +1%

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