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--- |
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license: mit |
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task_categories: |
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- image-to-image |
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- image-classification |
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- image-to-video |
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language: |
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- en |
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tags: |
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- MetaCloak |
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- Adversarial ML |
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pretty_name: MetaCloak |
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size_categories: |
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- n<1K |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: instance_name |
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dtype: string |
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- name: class_name |
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dtype: string |
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splits: |
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- name: vggface2_gen |
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num_bytes: 61529914.0 |
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num_examples: 200 |
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- name: vggface2_eval |
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num_bytes: 61510388.0 |
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num_examples: 200 |
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- name: celeba_gen |
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num_bytes: 6251273.0 |
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num_examples: 184 |
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- name: celeba_eval |
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num_bytes: 6597292.0 |
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num_examples: 184 |
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download_size: 135897737 |
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dataset_size: 135888867.0 |
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--- |
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## Dataset Card for MetaCloak |
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### Dataset Summary |
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This repository provides datasets from the [MetaCloak](https://github.com/liuyixin-louis/MetaCloak). |
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For each dataset, *-gen is the subset used for protecting, and *-eval is used as a clean reference to calculate some quality metrics. |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("yixin/metacloak_celeba_vggface2") |
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``` |
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## Contact |
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Contact Us: [email protected] |
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