{"references": ["Zou, D. N., Zhang, S. H., Mu, T. J., & Zhang, M. (2020). A new dataset of dog breed images and a benchmark for finegrained classification. Computational Visual Media, 6, 477-487.", "Khan, M. H., McDonagh, J., Khan, S., Shahabuddin, M., Arora, A., Khan, F. S., ... & Tzimiropoulos, G. (2020). Animalweb: A large-scale hierarchical dataset of annotated animal faces. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6939-6948).", "CHRIS CRAWFORD and NAIN. Cat dataset. Kaggle, 2018", "LARXEL. Dog and cat detection. Kaggle, 2020."]}

This dataset contains around ~15k images, including pet face bboxes and 3 landmarks (two eyes and nose) for both dogs and cats. It is sampled from AnimalWeb, Cats Dataset, TsingHua Dog, Dogs, and Cats dataset. Those datasets contain only one of bboxes or landmarks, I labeled the other for them. And the labels are in yolo format (xywh).