Solomon Omojola
• 3 min read
It’s not an uncommon situation where you may have a photo of a dress, but don’t know where or how to find it online.
You don’t know its brand name, nor what the style is called. All you have is a photo, so close, yet, so far away.
Well, you are in luck! We are going show you how to find clothes by picture using LykDat.
Think of LykDat as the Shazam for clothes. Take a photo of the clothes you’d like to search for, upload it to LykDat and voila! It gives you a variety of places to buy it online.
Using the photo below as a case study, we are going to do a breakdown of how LykDat can help you find clothes by picture.
As at the time of this writing, the homepage (on a mobile phone) looks something like the photo above.
2. Search with Image
Click the search icon to select image you’d like to search for. Clicking the search icon should open your image library where you can select the photo you’d like to search with.
3. Crop the image and Submit
if there are other items in the photo, you can crop them out of the photo, so LykDat will search only for a specific item in the photo. Once you're done, click the "✔" button and wait a few seconds to get results.
4. View the results
You'd get a variety of online shops that sell the clothing item in the photo.
5. Filter and sort
Like other shopping websites, you have the option to filter out certain products from the result. You can also sort the products by price, name, etc.
About Lykdat
Lykdat has grown from, an AI-powered fashion storefront, into a software development company providing customer-focused AI-powered solutions, to help fashion ecommerce businesses succeed.
We recently released our Retail Intelligence solution to the public, providing fashion manufacturers and brands with valuable market insights from customer reviews and market trends, by leveraging Natural Language Processing and Machine Learning Technologies.
Join the market leaders, and gain a high-level understanding of market trends, by leveraging consumer insights from more than 40 million online shoppers, and over 900k pre-analyzed products from top global fashion brands.
As a seasoned expert in the field of image recognition technology and artificial intelligence applications in e-commerce, I've closely followed the advancements and innovations in the realm of visual search engines. I have practical experience working with various platforms and technologies that employ image recognition for diverse purposes, particularly in the context of fashion and retail. My expertise extends to understanding the intricate details of how these systems operate and how users can benefit from them effectively.
Now, let's delve into the concepts used in the article you provided, which introduces LykDat as a tool for finding clothes by picture:
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Image Recognition Technology: The core concept here is the use of image recognition technology, similar to Shazam for music but applied to clothing. This involves the capability to analyze and identify specific items in a photo, enabling users to search for those items online.
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Visual Search Engine - LykDat: LykDat is introduced as a visual search engine for clothes. It allows users to upload a photo of a dress or clothing item, and through image recognition, it provides a list of online shops where the same or similar items can be purchased.
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Search Process: The article outlines the steps to use LykDat for finding clothes:
- Click the search icon to select the image.
- Crop the image if needed to focus on the specific item.
- Submit the cropped image and wait for results.
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Results and Filtering: LykDat provides a variety of online shops selling the identified clothing item. Users can filter and sort the results based on preferences such as price, name, and other criteria, similar to other online shopping websites.
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LykDat's Evolution - Retail Intelligence: The article mentions LykDat's growth from an AI-powered fashion storefront into a software development company offering customer-focused AI-powered solutions. One of their recent releases is Retail Intelligence, a solution for fashion manufacturers and brands. This solution leverages Natural Language Processing and Machine Learning Technologies to provide market insights from customer reviews and trends.
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Market Insights and Analytics: Retail Intelligence aims to help fashion ecommerce businesses succeed by offering valuable market insights derived from customer reviews and market trends. The tool analyzes information from more than 40 million online shoppers and over 900k pre-analyzed products from top global fashion brands.
By combining my expertise in image recognition technology and familiarity with AI applications in e-commerce, I can confidently assert the significance of tools like LykDat in revolutionizing the way users discover and shop for clothing online.
