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We are a growing team of passionate tech enthusiasts, including members with machine learning Ph.D.s (and dropouts), experienced engineers, and business professionals from all over the world. When we realized that the technology our CTO built during his Ph.D. could accurately complete most annotation tasks at least ten times faster than traditional methods, we saw an opportunity. Two brothers dropped out of their Ph.D. programs at top universities to found SuperAnnotate. We work hard to make annotation tasks as fast and accurate as possible so you can focus more on building your computer vision models with the highest detection accuracies.
Ming-Ming Cheng is a professor with the College of Computer Science, Nankai University, leading the Media Computing Lab. He received his Ph.D. degree from Tsinghua University in 2012 and then worked with Prof. Philip Torr in Oxford for 2 years. His research interests include computer vision and computer graphics. He has published over 60 papers in leading journals and conferences, such as IEEE TPAMI, ACM TOG, IEEE CVPR, etc. Many of his algorithms have become quite popular in the community, receiving more than 19,000 paper citations. He received several research awards including ACM China Rising Star Award, the IBM Global SUR award, etc. He is a senior member of the IEEE and on the editorial boards of the IEEE TIP.
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