With the rapid rise of various Over- The- Top (OTT) and streaming services like Netflix and YouTube, the number of viewers of video content has increased exponentially. In addition, the growth of the video content services market has been accelerated by the pandemic. Especially Korean content has drawn attention globally such as “The Squid Game”, “The Parasite”. A keyword like “Mukbang” which originated in the Korean language has commonly been used among global viewers and grown interest in Korean food. Therefore, we constructed Korean Food in Video Contents (KFVC) dataset and measured Korean food detection performance using the object detection model to observe the feasibility of searching Korean foods introduced in video contents.