If you're looking to implement visual search in your application, here are some tips for delivering a great user experience:
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1. Capture or Submit an Image:
The first step in the visual search process is to capture or submit an image. Users can use their phone camera to take a picture, or they can upload an image from their device's gallery.
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2. Detect Products in the Image:
Once the user submits the image, the visual search engine will detect any products within it. This is done using advanced computer vision algorithms that can recognize objects and patterns within the image.
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3. Product Selection or Automatic Search Trigger:
The user can either choose a specific product within the image or allow the visual search engine to automatically trigger a search based on the main product within the image.

4. Product Segmentation & Visual Search
Once the product is selected, the visual search engine will segment the product from the background. This is done to remove any extraneous elements in the image that might affect the search results. The visual search is performed now using the clean, segmented image, containing only the object of interest.

5. Results Ranked by Similarity
Finally, the user will receive a list of search results ranked by visual similarity to the original product. This allows users to easily find products that closely match what they're looking for, even if they don't have the exact words to describe it.

By implementing these steps in your visual search application, you can ensure a seamless and intuitive user experience that takes full advantage of the technology's potential.