Ximilar is a visual AI platform that provides image recognition and visual search solutions for various industries, including fashion, home decor, collectibles, and stock photos. The application allows users to manage and enhance images through features like tagging, product description generation, and reverse image search, all accessible via a no-code interface and REST API. Users can create custom machine learning models tailored to their specific image datasets, facilitating efficient image processing and data management.
Consent Management: Users can manage their consent for data processing through options to accept, deny, or view preferences related to cookies and device information.
Data Processing Categories: The application categorizes data processing into four main types: Functional, Preferences, Statistics, and Marketing, each with specific purposes.
Custom AI Solutions: Users can create tailored AI solutions for image recognition and visual search, allowing for specific categories, attributes, and labels.
No-Code Platform: The application provides a no-code environment for users to build and deploy their own machine learning models for image classification and object detection.
Image Annotation Tool: An advanced tool for bulk image annotation is available, enabling teams to efficiently label images with AI-assisted suggestions.
Consent Management: Users can manage their consent preferences for data processing technologies like cookies, affecting site functionality and user experience.
Image Recognition: Businesses can utilize AI for automatic detection and tagging of images, enhancing product descriptions and search capabilities.
Visual Search Solutions: Users can implement visual search features to allow customers to find products by uploading images, improving e-commerce experiences.
Custom AI Model Creation: Users can create and train their own machine learning models for specific image recognition tasks without coding knowledge.
Image Annotation Tools: Teams can efficiently annotate images in bulk, utilizing AI suggestions for improved accuracy in labeling and categorization.
Enables users to manage consent for data processing, ensuring compliance with privacy regulations.
Allows customization of consent preferences for different types of data usage, such as functional, preferences, statistics, and marketing.
Provides transparency to users about how their data will be used, enhancing trust and user experience.
Facilitates the ability to withdraw consent easily, giving users control over their data.
Helps businesses optimize their data processing strategies by understanding user consent levels and preferences.
The application offers a free web-based app for users to create and train their own image classification models without coding.
Monthly subscription plans are available, with credit supply optimized to user traffic and needs.
Users can add extra credit packs to their monthly credit supply for sudden system loads.
Pricing is based on API credits, with customizable monthly plans according to consumption.
Users can utilize a credit calculator to optimize cost-effectiveness.
