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Opendatalab
Overview :
OpenDataLab is an open-source data platform that provides high-quality open datasets to support the training and application of large AI models. With a massive capacity, it includes over 5500 datasets covering 1500+ task types, totaling over 80TB of data and exceeding 1,064,500 downloads. The platform offers 30+ application scenarios, 20+ annotation types, and 5 data types. It supports unified standards for data structure, annotation format, and online visualization, enabling open data sharing and intelligent search. It provides structured data information and visualized annotations and data distribution, making it convenient for users to read and filter. The platform offers fast download services, allowing users to quickly download data from domestic cloud servers without using a VPN.
Target Users :
OpenDataLab is suitable for AI model training and application scenarios that require massive data support, such as natural language processing, computer vision, and speech recognition.
Use Cases
A natural language processing model requires a large amount of text data for training. It can utilize OpenDataLab's open datasets.
A computer vision model requires a large amount of image data for training. It can utilize OpenDataLab's open datasets.
A speech recognition model requires a large amount of audio data for training. It can utilize OpenDataLab's open datasets.
Features
Provides high-quality open datasets
Supports training and application of large AI models
Includes over 5500 datasets covering 1500+ task types
Total data volume exceeding 80TB, with over 1,064,500 downloads
Offers 30+ application scenarios, 20+ annotation types, and 5 data types
Supports unified standards for data structure, annotation format, and online visualization
Enables open data sharing and intelligent search
Provides structured data information and visualized annotations and data distribution
Offers fast download services, allowing downloads from domestic cloud servers without VPN
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