graviti logo产品公开数据集关于我们
登录
1204
1
65
Oxford-IIIT Pet
创建来自Data Decorators / AChenQ
概要
活动

Overview

Oxford-IIIT Pet Dataset has created a 37 category pet dataset with roughly 200 images for each class. The images have a large variations in scale, pose and lighting. All images have an associated ground truth annotation of breed, head ROI, and pixel level trimap segmentation.

Dataset Statistics

img

Data Annotation

The annotations are available for every image in the dataset: (a) species and breed name; (b) a tight bounding box (ROI) around the head of the animal; and (c) a pixel level foreground-background segmentation (Trimap).

Citation

Please use the following citation when referencing the dataset:

@InProceedings{parkhi12a,
  author="Omkar M. Parkhi and Andrea Vedaldi and Andrew Zisserman and C. V. Jawahar",
  title="Cats and Dogs",
  booktitle="IEEE Conference on Computer Vision and Pattern Recognition",
  year="2012",
}

License

CC BY-SA 4.0

数据预览
查看数据
数据集信息
应用场景Animal
标注类型Box2DClassificationPolygon2D
LicenseCC BY-SA 4.0
更新时间2020-12-31 17:30:42
数据概要
数据格式Image
数据数量7.39k
文件大小756MB
标注数量7390
版权归属方
University of Oxford
标注方
未知
了解更多和支持
立即开始构建AI
免费开始联系我们