Ping An Insurance (Group) Company of China, Ltd. announced that the computer vision object detection model developed by Ping An Technology (Shenzhen) Co., Ltd. (hereafter “Ping An Technology”) has set a new record in the PASCAL VOC Challenge, one of the most authoritative competitions in the world to assess the design and innovation capabilities of AI algorithms.
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In the PASCAL VOC comp3 object detection challenge, Ping An Technology earned a mean average precision (mAP) of 86.5% and ranked first in 18 of 21 indicators, to take first place overall in a field of 59 competitors, including numerous notable artificial intelligence (AI) enterprises and AI laboratories in universities around the world. Object detection is the functionality to determine where there are the instances of a particular object class – such as a bird, a chair or a person – in an image, if any.
The Pattern Analysis, Statistical Modelling and Computational Learning Visual Object Classes (PASCAL VOC) Challenges have attracted the participation of numerous tech giants and top research institutions including Intel, Alibaba, Tencent and Microsoft Research since they were launched in 2006.
Object detection is one of the three basic tasks in the field of computer vision. The VOC2012 comp3 challenge has been one of the fiercest PASCAL VOC competitions, due to the diversity of target types and scenarios and the relatively small data set. These make identification difficult but most accurately evaluates the detection performance of different algorithms.
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