Dataset Versions

Versions
2024-06-10 10:38am
v2
·
6 months ago
2024-06-10 10:35am
v1
·
6 months ago
v1

2024-06-10 10:35am

Generated on Jun 10, 2024
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9465 Total Images

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Dataset Split

Train Set 94%
8908Images
Valid Set %
0Images
Test Set 6%
557Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.

Augmentations

Outputs per training example: 4
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Blur: Up to 1.5px
Noise: Up to 0.5% of pixels

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