If you encounter inaccurate AI recognition of clothing category, color or brand, you can follow the steps below to optimize it:
- Photography Tips: Lay clothes flat on a solid-colored background (e.g., white sheets) to ensure even lighting and avoid shadows or clutter.
- editorial amendment: Click on the text label of the recognition result after uploading to manually fix the category (e.g. change the misrecognized 'shirt' to 't-shirt'), adjust the color picker, or add branding information
- Add Tags: Add customized tags (e.g. 'winter', 'workplace') for individual items to improve the matching of AI recommendations through the tags.
- regular update: Delete data on clothes that are no longer worn to keep the closet library current
The system will continuously optimize the recognition model according to the data manually corrected by the user many times, and the accuracy rate can be improved by more than 30% for long-term use.
This answer comes from the articleOutfit Maker Mué: Digital Wardrobe and AI Matching AssistantThe
May not be reproduced without permission:AI productivity tools " Solving the problem of inaccurate AI clothing recognition
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