FCVID : Fudan-Columbia Video Dataset

Recognizing visual contents in unconstrained videos has become a very important problem for many applications, such as Web video search and recommendation, smart content-aware advertising, robotics, etc. Existing datasets for video content recognition are either small or do not have reliable manual labels. In this work, we construct and release a new Internet video dataset called Fudan-Columbia Video Dataset (FCVID), containing 91,223 Web videos (total duration 4,232 hours) annotated manually according to 239 categories. We believe that the release of FCVID can stimulate innovative research on this challenging and important problem.

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