DogFLW: Dog Facial Landmarks in the Wild Dataset
<|reference_start|>DogFLW: Dog Facial Landmarks in the Wild Dataset: Affective computing for animals is a rapidly expanding research area that is going deeper than automated movement tracking to address animal internal states, like pain and emotions. Facial expressions can serve to communicate information about these states in mammals. However, unlike human-related studies, there is a significant shortage of datasets that would enable the automated analysis of animal facial expressions. Inspired by the recently introduced Cat Facial Landmarks in the Wild dataset, presenting cat faces annotated with 48 facial anatomy-based landmarks, in this paper, we develop an analogous dataset containing 3,274 annotated images of dogs. Our dataset is based on a scheme of 46 facial anatomy-based landmarks. The DogFLW dataset is available from the corresponding author upon a reasonable request.<|reference_end|>
@article{martvel2024dogflw:,
    title={DogFLW: Dog Facial Landmarks in the Wild Dataset},
    author={George Martvel and Greta Abele and Annika Bremhorst and Chiara Canori
  and Nareed Farhat and Giulia Pedretti and Ilan Shimshoni and Anna Zamansky},
    journal={arXiv preprint arXiv:2405.11501},
    year={2024},
    archivePrefix={arXiv},
    eprint={2405.11501},
    primaryClass={cs.CV}
}