Cat Facial Landmarks in the Wild (CatFLW)

CatFLW数据集由以色列海法大学创建，包含2016张猫脸图像，每张图像标注有48个面部特征点，这些特征点与猫的面部肌肉结构和特定面部动作单元（CatFACS）相关。数据集的创建采用了半监督的人机交互标注方法，显著减少了标注时间。该数据集主要用于研究猫的情感状态和疼痛识别，为动物情感计算领域提供了重要的数据支持。

The CatFLW dataset was created by the University of Haifa in Israel. It contains 2016 cat facial images, each annotated with 48 facial landmark points, which are associated with the facial muscle structure of cats and specific facial action units (CatFACS). The dataset was constructed using a semi-supervised human-machine interactive annotation method, which significantly reduced annotation time. This dataset is primarily used for research on feline emotional states and pain recognition, providing important data support for the field of animal affective computing.

搜集汇总

背景与挑战

背景概述

CatFLW是一个由以色列海法大学创建的猫脸图像数据集，包含2016张图像，每张标注有48个与猫面部肌肉和动作单元相关的特征点，采用半监督人机交互标注方法以提高效率。该数据集主要用于支持猫的情感状态和疼痛识别研究，为动物情感计算领域提供重要数据资源。