You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: There are several datasets with standardized online evaluationsimilar to ILSVRC: the aforementioned PASCAL VOC (Everingham et al.,, 2012), Labeled Faces in the Wild (Huang et al.,, 2007) for unconstrained face recognition,Reconstruction meets Recognition (Urtasun et al.,, 2014) for 3D reconstruction and KITTI (Geiger et al.,, 2013) for computer vision in autonomous driving. These datasets along with ILSVRC help benchmark progress in different areas of computer vision.Works such as (Torralba and Efros,, 2011) emphasize the importance of examining the bias inherent in any standardized dataset.

Question: ImageNet challenge benchmarks which problems in computer vision domain?
It emphasizes the importance of examining the bias inherent in any standardized dataset.