Learn how our Fabric Pattern Detection API benefits e-commerce, enabling automated tagging of products and refined search filtering by fabric patterns.
Unlike traditional search, vector search understands concepts beyond plain text and keywords, allowing users to search for products through images efficiently.
We may want to develop a model that solves the detection task, and simultaneously predicts some additional attributes that can be related to the whole image or to the detected instances. This blog post demonstrates how to implement that in the MMDetection framework.
Filtering by color is a feature we often use on fashion marketplaces, e-commerce sites, and any other sites where we buy clothes. Color is also important when buying furniture, and antiques, or searching for stock images.
To deliver a smooth user experience, it's essential to stay current with technology in the realm of UX design. In this blog post, we'll look at how AI is becoming increasingly indispensable in web app development to give users a more tailored experience.
Velebit AI’s Lead Data Scientist, Mladen Fernežir, held a lecture at the Faculty of Informatics and Digital Technologies in Rijeka about how ChatGPT works, and also what technological excitements lie ahead in front of us.
Velebit AI announces a partnership with Best Advisory, a Zagreb-based managerial consulting outlet focused on digital transformation consulting, strategic agility, and planning.
Visual search is an AI (Artificial Intelligence) powered technology that allows users to sift through millions of items to find the best visually matching items.
When processing images, one of the tasks we often encounter is background removal. Background removal is a general and popular technique that can be used for many purposes: background swapping, adding special effects, creating product catalogs, or preparing images for your website.
OpenAI is teaching its AI systems to align with human intent and values. Which and whose values, exactly? Can ChatGPT pass the famous science fiction empathy test? Let’s ask the questions!