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license: cc-by-nc-nd-4.0 |
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# Intro |
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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. |
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## Labels |
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| 10-class | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
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| :------: | :---: | :---: | :----------: | :---: | :------: | :------: | :----: | :---: | :------: | :---: | |
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| Label | Tribe | Beach | Architecture | Bus | Dinosaur | Elephant | Flower | Horse | Mountain | Food | |
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## Usage |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("Genius-Society/CBIR", name="default", split="train") |
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for item in ds: |
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print(item) |
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``` |
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## Maintenance |
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```bash |
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GIT_LFS_SKIP_SMUDGE=1 git clone git@hf.co:datasets/Genius-Society/CBIR |
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cd CBIR |
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``` |
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## Mirror |
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<https://www.modelscope.cn/datasets/Genius-Society/CBIR> |
