Dataset Versions

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Versions
2023-07-24 12:05pm
v12
·
a year ago
2023-07-23 5:19pm
v11
·
a year ago
2023-07-23 12:16pm
v10
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a year ago
2023-07-20 11:49am
v5
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a year ago
2023-07-19 9:18pm
v4
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a year ago
2023-07-19 3:25pm
v3
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a year ago
2023-07-19 1:32pm
v2
·
a year ago
2023-07-19 11:37am
v1
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a year ago
v10

2023-07-23 12:16pm

Generated on Jul 23, 2023
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Dataset Split

Train Set 89%
282Images
Valid Set 8%
25Images
Test Set 3%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Bounding Box: Flip: Horizontal
Bounding Box: Rotation: Between -15° and +15°

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