Datasets:
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README.md
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license: mit
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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>
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