11 datasets found

The Animals with Attributes (AwA) dataset consists of 50 classes of animals, with 30,475 images in total.

The dataset used in the paper is a hierarchical concept representation task, where the goal is to predict is-a relationships between concepts.

A dataset of images of horses and humans

The DBpedia Animals dataset comprises 10,000 English Wikipedia article abstracts for animal species.

The iNaturalist 2021-mini dataset contains images of animals from 200 species.

The Skull2Animal dataset contains unpaired images of skulls and living animals. These images were curated through a process wherein skull photographs, taken by a private...

The dataset used in the paper is OxfordPets, a dataset of 33 animal categories.

AWA2 is an animal dataset containing 37,322 images from 50 classes, with 85 attributes provided by experts to describe the semantic feature of each class.

iWildCam is a multi-class species classification dataset containing 1022K images of animals annotated with the domain, s, that identifies the camera trap that captured it.

The dataset used in the paper is a set of images from the AFHQ dataset, containing 1.5K images of different animal faces.

The Oxford-III dataset consists of images of 37 breeds of cats and dogs.