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---
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license: mit
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tags:
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- Astronomy
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- Classification
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- Object Detection
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---
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<div align="center">
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<h1 style="font-size:40px;font-weight:bold">DRAFTS</h1>
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_✨ Deep learning-based RAdio Fast Transient Search pipeline✨_
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<img src="https://counter.seku.su/cmoe?name=APOD&theme=r34" /><br>
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</div>
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## <div align="center">Description</div>
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Here is the dataset repository for the Deep learning-based RAdio Fast Transient Search pipeline ([DRAFTS](https://github.com/SukiYume/DRAFTS)).
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We invite you to stay tuned for updates on the remaining components and different versions of the models.
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## <div align="center">Usage</div>
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There are 17 zip files in this repository
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- `cent-data*.zip` contains the training data for the object detection model. Extract the zip file and place the contents in the `ObjectDet/Data` directory of the [DRAFTS](https://github.com/SukiYume/DRAFTS) project for training.
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- `data_label.txt` contains the labels of training data for the object detection model.
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- `class-data.zip` contains the training data for the classification model. Extract the zip file and place the contents in the `BinaryClass/Data` directory of the [DRAFTS](https://github.com/SukiYume/DRAFTS) project for training.
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## <div align="center">Contributing</div>
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We welcome contributions to the DRAFTS project! If you have any suggestions, bug reports, or feature requests, please open an issue or submit a pull request on our [GitHub repository](https://github.com/SukiYume/DRAFTS).
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## <div align="center">Contact</div>
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For any questions or inquiries, please contact us at ykzhang@nao.cas.cn or ykzhang@escape.ac.cn
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<div align="center">
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✨ Thank you for using DRAFTS! ✨
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</div>
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