AI Data Foundation
The AI data platform aims to unify the processing of various data, building an integrated platform for a data closed loop, addressing the bottleneck issues of resource efficiency and model efficiency during mass production.
The platform consists of six main parts: data collection, data preprocessing, data annotation (road markings, 3D object detection), model training and evaluation, testing and simulation, and underlying database.
Overall data closed loop: Real vehicle fleets interact with various parts through data exchange, facilitated by a database that includes quality checks for data from each part.
Problem data digestion closed loop: In the three main parts of data annotation, model training and evaluation, and testing and simulation, a rotation is formed to create an optimization process for problem data.
Product features:
1. Supports data de-sensitization
2. Supports project task management and vehicle management
3. Supports retrieval of scene library tags, automatic classification of scene libraries, and visualization
4. Supports pre-annotation for large models
5. Supports data quantity, data format, data statistics, data classification, and data processing status display
6. Supports semi-automated model training
7. Supports data reinjection simulation testing and automatic test report output
Contact Us
Business cooperation: Manager Deng 86-137 1437 6082
Media Cooperation: Cold Manager 86-136 5242 6616
Company address: Wuhan Economic and Technological Development Zone 201M plot of the Chinese Huihe Science and Technology Park(Huazhong Zhigu) Phase I D4D5 R & D Building, Room 3, Floor 3
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