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--- |
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license: mit |
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task_categories: |
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- image-segmentation |
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- image-classification |
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tags: |
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- medical |
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- material |
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- industry |
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--- |
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# 📘 Custom Dataset |
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Custom dataset provides both anomalib and YOLO format datasets. |
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You can import it with the Huggingface way, or just clone it from GitHub and download it to your local machine. How to use the IADBE platform, check details [here](https://github.com/cjy513203427/IADBE/blob/master/README.md). |
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<details> |
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<summary>Use Huggingface</summary> |
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```python |
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from datasets import load_dataset |
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ds = load_dataset("gt111lk/IADBE_Custom_Dataset") |
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``` |
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</details> |
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<details> |
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<summary>Use Git Clone</summary> |
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```bash |
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git clone https://huggingface.co/datasets/gt111lk/IADBE_Custom_Dataset |
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``` |
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</details> |
