ImagiFilter: A resource to enable the semi-automatic mining of images at scale

Understand

Datasets (semi-)automatically collected from the web can easily scale to millions of entries, but a dataset's usefulness is directly related to how clean and high-quality its examples are.

• In this paper, we describe and publicly release an image dataset along with pretrained models designed to (semi-)automatically filter out undesirable images from very large image collections, possibly obtained from the web.
• Our dataset focusses on photographic and/or natural images, a very common use-case in computer vision research.
• We provide annotations for coarse prediction, i.e.