Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
dogs
License:
Search is not available for this dataset
image
imagewidth (px) 97
3.26k
| label
class label 130
classes |
---|---|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
|
01043-n000001-Shiba_Dog
|
End of preview. Expand
in Dataset Viewer.
Dataset Card for Dataset Name
Tsinghua Dogs Dataset from https://cg.cs.tsinghua.edu.cn/ThuDogs/
Dataset Details
Dataset Description
Images of dogs divided in classes. The original link above https://cg.cs.tsinghua.edu.cn/ThuDogs/ has also bounding boxes and other annotations.
- Curated by: https://cg.cs.tsinghua.edu.cn/ThuDogs/
- Funded by [optional]: https://cg.cs.tsinghua.edu.cn/ThuDogs/
- License: CC-4.0 Attribution
Dataset Sources [optional]
https://cg.cs.tsinghua.edu.cn/ThuDogs/
- Repository: https://cg.cs.tsinghua.edu.cn/ThuDogs/
- Paper [optional]: https://doi.org/10.1007/s41095-020-0184-6
Dataset Structure
Image (PIL) and label (string)
Dataset Creation
Curation Rationale
Made this dataset available in HF format
Source Data
https://cg.cs.tsinghua.edu.cn/ThuDogs/
Citation [optional]
"A new dataset of dog breed images and a benchmark for fine-grained classification", Computational Visual Media, 2020
BibTeX:
@article{Zou2020ThuDogs,
title={A new dataset of dog breed images and a benchmark for fine-grained classification},
author={Zou, Ding-Nan and Zhang, Song-Hai and Mu, Tai-Jiang and Zhang, Min},
journal={Computational Visual Media},
year={2020},
url={https://doi.org/10.1007/s41095-020-0184-6}
}
- Downloads last month
- 89