cupi

FaV

Object Detection

FaV Image Dataset

v2

Banany_1

Generated on Jun 17, 2023

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Dataset Split

Train Set 90%
6258Images
Valid Set 10%
723Images
Test Set 0%
1Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 540x540
Modify Classes: 22 remapped, 21 dropped
Filter Null: Require at least 5% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down

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