MMFashion

1. Input product images into the Fashion Attribute Prediction module.

2. Extract attribute labels such as color, style, and material.

3. Automatically generate product tags based on the predicted attributes.

4. Update product listings with the generated tags.

1. Input user's current outfit into the Fashion Compatibility module.

2. Analyze the outfit's attributes and style.

3. Recommend compatible items based on the analysis.

4. Present the recommended items to the user.

1. Input user's image into the Virtual Try-On module.

2. Select clothing items to try on.

3. Overlay the selected items onto the user's image.

4. Display the virtual try-on result to the user.

1. Input user's image into the Fashion Landmark Detection module.

2. Identify key landmarks such as shoulder points, waistline, and inseam.

3. Measure the distances between the detected landmarks.

4. Provide measurements to the tailor for custom fitting.

1. Collect fashion images from social media platforms.

2. Input images into the Fashion Recognition and Retrieval module.

3. Cluster similar images based on visual features.

4. Identify dominant styles and attributes within each cluster.

5. Report emerging fashion trends based on the cluster analysis.