---
license: cc-by-nc-nd-4.0
---

# Intro
The content-based image retrieval (CBIR) dataset is a collection specifically designed for image recognition and retrieval technology, encompassing a variety of image categories characterized by their content. This dataset includes images from 10 categories: Tribe, Beach, Architecture, Bus, Dinosaur, Elephant, Flower, Horse, Mountain, and Food, providing a rich resource for research and applications in the field of computer vision.

## Labels
| 10-class |   0   |   1   |      2       |   3   |    4     |    5     |   6    |   7   |    8     |   9   |
| :------: | :---: | :---: | :----------: | :---: | :------: | :------: | :----: | :---: | :------: | :---: |
|  Label   | Tribe | Beach | Architecture |  Bus  | Dinosaur | Elephant | Flower | Horse | Mountain | Food  |

## Usage
```python
from datasets import load_dataset

ds = load_dataset("Genius-Society/CBIR", name="default", split="train")
for item in ds:
    print(item)
```

## Maintenance
```bash
GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/Genius-Society/CBIR
cd CBIR
```

## Mirror
<https://www.modelscope.cn/datasets/Genius-Society/CBIR>