Ximilar

Ximilar is a Visual AI platform that provides a range of solutions for businesses. According to the vendor, it offers image recognition, visual search, image tools, fashion tagging, and stock photos services. Ximilar's platform aims to assist businesses in automating image processing, improving search capabilities, and enhancing customer experiences. It caters to businesses of all sizes, including e-commerce companies, retailers, professionals in the fashion industry, stock photo platforms, and collectibles marketplaces.

Key Features

Fashion Tagging: According to the vendor, Ximilar's Fashion Tagging feature automatically categorizes and tags fashion images, enabling sorting, filtering, and recommendations on websites. It recognizes various fashion objects and tags in categories such as clothing, footwear, watches, bags, accessories, jewelry, and underwear.

Product Photo Metadata: Ximilar's Fashion Tagging includes recognition of meta-information about product photos, identifying the type of product photo, background, and view angle. This information can be used to automatically select the primary image of a product or filter out irrelevant images.

Custom Fashion Tagging Solutions: Ximilar offers custom fashion tagging solutions, allowing businesses to tailor the fashion taxonomy to their specific needs, add missing features, and train their own image classifier using Ximilar's custom classification service.

Technology Stack: According to the vendor, Ximilar utilizes advanced neural network models and machine learning techniques to provide high-quality results. The platform's algorithm selects the best-performing models from its collection, which have millions of parameters that can be processed by CPU or GPU.

Image Annotation: Ximilar's platform includes image annotation capabilities, enabling users to label and tag images for training machine learning models. This assists in creating accurate datasets and improving the accuracy of AI models. Ximilar provides an image annotation tool to enhance the efficiency and accuracy of the annotation process.

Visual Search: According to the vendor, Ximilar offers a visual search feature that analyzes image features such as colors, patterns, shapes, and edges to find visually similar images. This feature enhances image search, filtering, and recommendations on websites, providing a comprehensive search experience when combined with text-based search.

Image Classification: Ximilar's platform includes image classification capabilities, allowing users to train AI models to classify images into predefined categories. It simplifies tasks such as object recognition, content filtering, and content organization. Ximilar provides tools and resources to streamline the training and deployment of image classification models.

Object Detection: Ximilar's platform offers object detection capabilities, enabling users to detect and locate specific objects within images. It assists in identifying and tracking objects, counting instances, and analyzing object characteristics. Ximilar's object detection models are trained to recognize a wide range of objects in various contexts.

Image Regression: According to the vendor, Ximilar's image regression feature predicts continuous numerical values from images, which can be useful for tasks such as estimating sizes, measuring distances, and predicting quantities. The models learn the relationships between image features and target numerical values. This feature has applications in industries such as manufacturing, healthcare, and agriculture.