Cat Annotation Dataset Merged

# Cat Annotation Dataset The CAT dataset includes 10,000 cat images. For each image, we annotate the head of cat with nine points, two for eyes, one for mouth, and six for ears. The detail configuration of the annotation was shown in Figure 6 of the original paper: Weiwei Zhang, Jian Sun, and Xiaoou Tang, "Cat Head Detection - How to Effectively Exploit Shape and Texture Features", Proc. of European Conf. Computer Vision, vol. 4, pp.802-816, 2008. ### Format The annotation data are stored in a file with the name of the corresponding cat image plus ".cat", one annotation file for each cat image. For each annotation file, the annotation data are stored in the following sequence: 1. Number of points (always 9) 2. Left Eye 3. Right Eye 4. Mouth 5. Left Ear-1 6. Left Ear-2 7. Left Ear-3 8. Right Ear-1 9. Right Ear-2 10. Right Ear-3 ### Training, Validation, and Testing We randomly divide the data into three sets: 5,000 images for training, 2,000 images for valid

## 猫头标注数据集
该CAT数据集收录了10,000张猫的图像。对于每张图像，我们采用九点标注法对猫头进行标记，其中双眼各标注两点，嘴巴一点，耳朵六点。标注的详细配置如原文中图6所示：张伟伟、孙剑、唐晓鸥所著《猫头检测——如何有效利用形状和纹理特征》，发表于欧洲计算机视觉会议论文集，第4卷，第802-816页，2008年。
### 格式
标注数据存储于与对应猫图像同名的文件中，文件扩展名为“.cat”，每张猫图像对应一个标注文件。对于每个标注文件，标注数据按以下顺序存储：1. 点数数量（始终为9）2. 左眼3. 右眼4. 嘴巴5. 左耳-1 6. 左耳-2 7. 左耳-3 8. 右耳-1 9. 右耳-2 10. 右耳-3
### 训练、验证和测试
我们将数据随机分为三个集合：5,000张图像用于训练，2,000张图像用于验证，剩余3,000张图像用于测试。