'NVIDIA Advances Physical AI At CVPR With Largest Indoor Synthetic Dataset'
'NVIDIA Advances Physical AI At CVPR With Largest Indoor Synthetic Dataset'
英偉達在CVPR展示最大的室內合成數據集推進物理人工智能技術。
For the annual AI City Challenge, hundreds of teams from around the world tested their AI models on physically based datasets generated with NVIDIA Omniverse.
在年度AI城市挑戰賽中，來自世界各地的數百個團隊使用英偉達Omniverse生成的基於物理的數據集測試他們的AI模型。
NVIDIA contributed the largest ever indoor synthetic dataset to the Computer Vision and Pattern Recognition (CVPR) conference's annual AI City Challenge — helping researchers and developers advance the development of solutions for smart cities and industrial automation.
英偉達爲計算機視覺和模式識別（CVPR）會議的年度AI城市挑戰貢獻了有史以來最大的室內合成數據集，幫助研究人員和開發人員推進智慧城市和工業自動化的解決方案的開發。
The challenge, garnering over 700 teams from nearly 50 countries, tasks participants to develop AI models to enhance operational efficiency in physical settings, such as retail and warehouse environments, and intelligent traffic systems.
這項挑戰吸引了來自近50個國家的700多個團隊，要求參賽者在物理環境（如零售和倉儲環境以及智能交通系統）中開發AI模型以提高運營效率。
Teams tested their models on the datasets...
團隊將他們的模...
登入免費觀看全文
登入/註冊
譯文內容由第三人軟體翻譯。
以上內容僅用作資訊或教育之目的，不構成與富途相關的任何投資建議。富途竭力但無法保證上述全部內容的真實性、準確性和原創性。