Dataset Versions

Versions
2023-07-25 1:19pm
v11
·
a year ago
2023-07-20 3:58pm
v10
·
a year ago
2023-07-20 3:13pm
v9
·
a year ago
2023-07-20 11:15am
v8
·
a year ago
2023-07-19 2:40pm
v7
·
a year ago
2023-07-17 2:21pm
v6
·
2 years ago
2023-07-17 2:03pm
v5
·
2 years ago
v11

2023-07-25 1:19pm

Generated on Jul 25, 2023
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3072 Total Images

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Dataset Split

Train Set 87%
2679Images
Valid Set 9%
262Images
Test Set 4%
131Images

Preprocessing

Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images

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