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Oxford-IIIT Pet Dataset
2D Box
2D Classification
2D Polygon
Animal
|...
许可协议: CC-BY-SA 4.0

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 Preview

Label Distribution

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

The dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the images.

数据概要
数据格式
image,
数据量
7.4K
文件大小
773.52MB
发布方
University of Oxford
The University of Oxford (legally The Chancellor, Masters and Scholars of the University of Oxford) is a collegiate research university in Oxford, England.
| 数据量 7.4K | 大小 773.52MB
Oxford-IIIT Pet Dataset
2D Box 2D Classification 2D Polygon
Animal
许可协议: CC-BY-SA 4.0

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 Preview

Label Distribution

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

The dataset is available to download for commercial/research purposes under a Creative Commons Attribution-ShareAlike 4.0 International License. The copyright remains with the original owners of the images.

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