Cat Annotation Dataset Merged
Weiwei Zhang and Jian Sun and Xiaoou Tang

Cat Annotation Dataset (9 files)
CAT_00.zip 384.83MB
CAT_01.zip 370.97MB
CAT_02.zip 366.12MB
CAT_03.zip 140.54MB
CAT_04.zip 256.60MB
CAT_05.zip 252.55MB
CAT_06.zip 209.19MB
README.txt 1.32kB
html5-viewer.zip 31.16kB
Type: Dataset
Tags:cats

Bibtex:
@article{,
title= {Cat Annotation Dataset Merged},
journal= {},
author= {Weiwei Zhang and Jian Sun and Xiaoou Tang},
year= {2008},
url= {http://137.189.35.203/WebUI/CatDatabase/catData.html},
license= {The CAT dataset is only for research purposes, we do not have any copyright of the images.},
abstract= {# 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 validation and 3000 images for testing.

![](https://i.imgur.com/TKEV2Ov.jpg)

},
keywords= {cats},
terms= {},
superseded= {}
}


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