#Data Labeling

Discover a well-curated selection of data labeling tools tailored for a variety of domains including images, text, audio, video, 3D, and more. These tools offer distinct functionalities that boost the efficiency of data annotation processes, essential for machine learning projects. Notable tools such as labelImg and CVAT make image annotation easier, while YEDDA and ML-Annotate are ideal for text labeling tasks. Tools like EchoML and UltimateLabeling enhance audio and video annotations. This collection also addresses needs for Lidar, time series, and multidomain data labeling, providing critical resources for building robust AI solutions.

Explore an open-source toolkit designed to boost model performance with advanced error analysis, quality metrics, and data exploration. Perfect for model evaluation, explainability reports, and identifying dataset errors, this toolkit supports multiple projects and data types. Suitable for cloud and local deployment, it supports computer vision needs with customizable metrics for data-focused improvements. Engage with the community to enhance your AI projects using robust tools.

Diffgram provides efficient AI data management with strong human supervision and versatile media type labeling, ideal for businesses with compliance needs. Discover the benefits of the new Diffgram license version 2 and gain additional value with contributors' financial credits.