Dataset Versions

Versions
2024-03-07 10:19am
v11
·
10 months ago
2024-01-10 6:11am
v10
·
a year ago
2024-01-09 10:09am
v6
·
a year ago
2023-12-15 12:40pm
v5
·
a year ago
2023-12-14 3:40pm
v4
·
a year ago
2023-12-11 1:39pm
v3
·
a year ago
v11

2024-03-07 10:19am

Generated on Mar 7, 2024
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332 Total Images

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Dataset Split

Train Set 88%
291Images
Valid Set 8%
28Images
Test Set 4%
13Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 480x480
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 1.5px

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