Test data shows that under ideal shooting conditions (solid color background + even lighting), AI's recognition accuracy for basic clothing categories reaches 93%. but when there are overlapping patterns or reflective materials, the accuracy may drop to 75%. users can optimize the results through three operations: first, spreading the clothing to avoid wrinkles; second, manually selecting a broad category, such as "jeans", to assist AI in judging before shooting; third, double checking the automatically generated labels; third, manually selecting a broad category, such as "jeans", before shooting to assist AI in judging; and third, double-checking the automatically generated labels. judgment; and third, secondary checking of the automatically generated labels. The system will record the user's correction behavior, and this feedback data will be used to continuously improve the recognition model.
This answer comes from the articleOutfit Maker Mué: Digital Wardrobe and AI Matching AssistantThe
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