worm-pose-estimation-object-detection Dataset

v4

unified labels

Generated on May 15, 2023

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Dataset Split

Train Set 82%
656Images
Valid Set 12%
96Images
Test Set 6%
46Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Exposure: Between -21% and +21%
Cutout: 3 boxes with 37% size each

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