Bugs in the Data: How ImageNet Misrepresents Biodiversity. (arXiv:2208.11695v1 [cs.CV])

ImageNet-1k is a dataset often used for benchmarking machine learning (ML)
models and evaluating tasks such as image recognition and object detection.
Wild animals make up 27% of ImageNet-1k but, unlike classes representing people
and objects, these data have not been closely scrutinized. In the current
paper, we analyze the 13,450 images from 269 classes that represent wild
animals in the ImageNet-1k validation set, with the participation of expert
ecologists. We find that many of the classes are ill-defined or …

arxiv biodiversity bugs cv data imagenet