Dataset Versions

Versions
80-10-10 all annotated
v3
·
a month ago
10 percent no annotation
v2
·
a month ago
87-9-4 split
v1
·
a month ago
v2

10 percent no annotation

Generated on Nov 21, 2024
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4460 Total Images

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Dataset Split

Train Set 79%
3544Images
Valid Set 10%
460Images
Test Set 10%
456Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 4 dropped
Filter Null: Require at least 90% of images to contain annotations.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical

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