---
language:
- en
license: mit
size_categories:
- 10M<n<100M
task_categories:
- feature-extraction
pretty_name: AnyPattern
tags:
- croissant
dataset_info:
  features:
  - name: Pattern
    dtype: string
  - name: Elaboration
    dtype: string
  - name: Demo_1
    dtype: image
  - name: Demo_2
    dtype: image
  - name: Demo_3
    dtype: image
  - name: Demo_4
    dtype: image
  splits:
  - name: Base
    num_bytes: 22749079.0
    num_examples: 91
  - name: Novel
    num_bytes: 3238945.0
    num_examples: 11
  download_size: 25876361
  dataset_size: 25988024.0
configs:
- config_name: default
  data_files:
  - split: Base
    path: data/Base-*
  - split: Novel
    path: data/Novel-*
---

The dataset proposed in our paper "[AnyPattern: Towards In-context Image Copy Detection](https://arxiv.org/pdf/2404.13788.pdf)".

Please go to [Github](https://github.com/WangWenhao0716/AnyPattern) for the code about how to use this dataset.

Here, we show how to **download** this dataset.


# anypattern_v31
```
for letter in {a..z}; do
  wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/train/anypattern_v31_part_a$letter
done
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/train/anypattern_v31_part_ba

cat anypattern_v31_part_a{a..z} anypattern_v31_part_ba > anypattern_v31.tar

tar -xvf anypattern_v31.tar
```

# original_images
```
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/original/train_{0..19}.zip
for z in train_*.zip; do unzip $z; done
mv images/train original_images
```

# reference_images
```
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/reference/references_{0..19}.zip
for z in references_*.zip; do unzip $z; done
mv images/references reference_images
```


# query_k1_10_v2_test
```
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/query/query_k1_10_v2_test.tar
tar -xvf query_k1_10_v2_test.tar
```

# query_k1_10_v2_support_select10
```
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/query/query_k1_10_v2_support_select10.tar
tar -xvf query_k1_10_v2_support_select10.tar
```

# query_k1_10_v2_support_ori_select10
```
wget https://huggingface.co/datasets/WenhaoWang/AnyPattern/resolve/main/query/query_k1_10_v2_support_ori_select10.tar
tar -xvf query_k1_10_v2_support_ori_select10.tar
```

# After downloading and unzipping all these files, we should have such a directory:

```
/path/to/

  anypattern_v31/
    anypattern_v31/
      0_0.jpg
      0_1.jpg
      ...

  original_images/
     T000000.jpg
     T000001.jpg
     ...

  reference_images/
     R000000.jpg
     R000001.jpg
     ...

  query_k1_10_v2_test/
     ...

  query_k1_10_v2_support_select10/
     ...

  query_k1_10_v2_support_ori_select10/
     ...
```


# Citation
```
@inproceedings{
    wang2024AnyPattern,
    title={AnyPattern: Towards In-context Image Copy Detection},
    author={Wang, Wenhao and Sun, Yifan and Tan, Zhentao and Yang, Yi},
    booktitle={arXiv preprint arXiv:2404.13788},
    year={2024},
}
```

# Contact

If you have any questions, feel free to contact [Wenhao Wang](https://wangwenhao0716.github.io/) (wangwenhao0716@gmail.com).