| OXFORD-IIIT PET Dataset | |
| ----------------------- | |
| Omkar M Parkhi, Andrea Vedaldi, Andrew Zisserman and C. V. Jawahar | |
| We have 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. | |
| Contents: | |
| -------- | |
| trimaps/ Trimap annotations for every image in the dataset | |
| Pixel Annotations: 1: Foreground 2:Background 3: Not classified | |
| xmls/ Head bounding box annotations in PASCAL VOC Format | |
| list.txt Combined list of all images in the dataset | |
| Each entry in the file is of following nature: | |
| Image CLASS-ID SPECIES BREED ID | |
| ID: 1:37 Class ids | |
| SPECIES: 1:Cat 2:Dog | |
| BREED ID: 1-25:Cat 1:12:Dog | |
| All images with 1st letter as captial are cat images while | |
| images with small first letter are dog images. | |
| trainval.txt Files describing splits used in the paper.However, | |
| test.txt you are encouraged to try random splits. | |
| Support: | |
| ------- | |
| For any queries contact, | |
| Omkar Parkhi: omkar@robots.ox.ac.uk | |
| References: | |
| ---------- | |
| [1] O. M. Parkhi, A. Vedaldi, A. Zisserman, C. V. Jawahar | |
| Cats and Dogs | |
| IEEE Conference on Computer Vision and Pattern Recognition, 2012 | |
| Note: | |
| ---- | |
| Dataset is made available for research purposes only. Use of these images must respect | |
| the corresponding terms of use of original websites from which they are taken. | |
| See [1] for list of websites. | |