Dataset Versions

Versions
2023-08-11 8:50am
v9
·
a year ago
2023-08-09 9:40pm
v8
·
a year ago
2023-08-09 9:05pm
v7
·
a year ago
2023-08-09 6:30pm
v6
·
a year ago
2023-06-26 4:42pm
v3
·
a year ago
2023-06-26 12:05pm
v2
·
a year ago
2023-06-08 6:06pm
v1
·
a year ago
v2

2023-06-26 12:05pm

Generated on Jun 26, 2023
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Dataset Split

Train Set 94%
537Images
Valid Set 6%
33Images
Test Set %
0Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -11° and +11°
Saturation: Between -30% and +30%
Exposure: Between -21% and +21%

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