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Dahua's AI achieved two breakthrough key indicators to achieve industry leadership

 Last Update: 2022-01-01
 Source: Internet
 Author: User

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The WSSS4LUAD (Weakly Supervised Semantic Segmentation for Lung Adenocarcinoma) competition and the LUAD_HistoSeg data set were initiated by the Guangdong Provincial People’s Hospital, University of Electronic Science and Technology of China, Beijing University of Posts and Telecommunications and other institutions and scholars, aiming to use image-level classification tags to achieve histopathological images Semantic segmentation is of great significance to promote the rapid development of artificial intelligence in pathological images

The MSCOCO (Microsoft Common Objects in Context) data set is a large data set constructed by Microsoft.

According to statistics, Dahua has obtained more than 60 firsts and more than 1,300 AI invention patents in the global AI competition evaluation

This award-winning AI algorithm relies on the self-developed Dahua Juling artificial intelligence development platform, and uses weakly supervised and semi-supervised learning technology to greatly reduce the data requirements of the algorithm.

Relying on instance segmentation technology, in the field of intelligent transportation, it can help automatically analyze traffic elements such as traffic signs, markings, signal lights, and man-machine non-humans.

Nowadays, artificial intelligence applications are blooming, and the demand for intelligence continues to grow

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