linkfox-multimodal-product-similarity

To deduplicate product images by visual similarity, you provide a JSON object containing a products array. The tool analyzes the main images to cluster visually similar items and surface lookalike duplicates based on your configured similarityThreshold.

Yes, you can detect cross-brand lookalike products by setting the includeSingleBrandGroups parameter. This allows the visual similarity analysis to group matching items regardless of brand, helping surface competitive lookalikes across your catalog.

The best way to cluster visually similar products from search results is to pass the listing data as a JSON products array. The tool evaluates the main image visual features to group lookalikes and deduplicated clusters automatically.

You adjust the similarity threshold by providing a similarityThreshold value between 0 and 100 in the input JSON object. This parameter controls how closely product images must match visually to be grouped into the same cluster.

Multimodal product similarity analysis requires a JSON object as input containing a products array. You can optionally include a similarityThreshold, includeSingleBrandGroups, refResultData, and userInput to customize the visual clustering workflow.

Yes, visual deduplication works for marketplace recommendations, search results, and catalog listings. Apply the tool to any product dataset formatted as a JSON products array to identify appearance-based clusters and reduce duplicate visual content.