| --- |
| license: mit |
| task_categories: |
| - image-segmentation |
| - image-classification |
| tags: |
| - medical |
| - material |
| - industry |
| --- |
| |
|
|
| # 📘 Custom Dataset |
| Custom dataset provides both anomalib and YOLO format datasets. |
| 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). |
| <details> |
| <summary>Use Huggingface</summary> |
|
|
| ```python |
| from datasets import load_dataset |
| ds = load_dataset("gt111lk/IADBE_Custom_Dataset") |
| ``` |
| </details> |
|
|
| <details> |
| <summary>Use Git Clone</summary> |
|
|
| ```bash |
| git clone https://huggingface.co/datasets/gt111lk/IADBE_Custom_Dataset |
| ``` |
| </details> |
