Overview
Universal Data Tool is a robust open-source solution for creating and labeling images, audio, text, and video datasets. It allows anyone on your team to label data without any programming skills, though its simplicity can limit advanced features. It empowers users in real-time collaboration and seamless integration with AWS.
Overall Rating
Based on 2 users reviews
4.5
Rating Distribution
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Starting Price
Custom
Universal Data Tool Specifications
Natural Language Dialogue
Smart Data Discovery
Self-Service Dashboards
Text to Speech & Speech to Text
What is Universal Data Tool?
Overview
Universal Data Tool is a versatile open-source platform for labeling datasets across various formats, including images, audio, text, and video. It is designed for image segmentation, text classification, video segmentation, and many more features. It supports Computer Vision and Natural Language Processing workflows, making it ideal for machine learning and data processing tasks. Its user-friendly interface allows for real-time collaboration and seamless integration with AWS.
Universal Data Tool Pricing
Universal Data Tool Integrations
Who Is Universal Data Tool For?
Universal Data Tool is an open-source tool and library that can be used by anyone as it requires no data or programming skills.
Is Universal Data Tool Right For You?
Universal Data Tool software possesses open-source flexibility, real-time collaboration, and ease of use, making it the right choice. It enables various media types and supports integration with various platforms such as AWS and Jupyter Notebook, making it a versatile tool for data labeling projects.
Do you still need convincing that Universal Data Tool is the perfect fit for your organization? Don’t hesitate to call (661) 384-7070 to ask our support staff for further help.
Universal Data Tool Features
This feature will enable the user to drive shapes, like polygons or rectangles, that segment an image into different sets. This is useful in several fields of interest, such as medical imaging, where identification among tissues or organs must be sharp, or car driving, where road element identification offers safety.
This feature helps the user by classifying text documents into pre-named categories. This feature is advantageous for automating the organization of large volumes of text, making it easier to manage and retrieve relevant information quick.
This feature converts spoken words into written words. It is useful in creating video subtitles, transcribed interviews for research, and making audio material available to people with hearing impairments. Compared to manual transcription, it saves a lot of time and effort.
This feature lets the user separate any video into its constituent parts or scenes. It is particularly useful during video editing, where different video portions should often be closed for analysis or editing independently. It also assists in structuring video content for easier navigation and retrieval.
This feature involves annotating images at specific points to locate a landmark or pose. Facial recognition technologies require this to place key facial features. Similarly, motion analysis is an important tool for body movement tracking, finding applications in areas such as sports science and animation.