ImagiFilter

홈페이지 · 논문 1편

ImagiFilter focusses on photographic and/or natural images, a very common use-case in computer vision research. Annotations for coarse prediction are provided, i.e. photographic vs. non-photographic, and smaller fine-grained prediction tasks where the non-photographic class is broken down into five classes: maps, drawings, graphs, icons, and sketches. Source: ImagiFilter: A resource to enable the semi-automatic mining of images at scale