AnyPattern / README.md
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metadata
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
      num_examples: 91
    - name: Novel
      num_bytes: 3238945
      num_examples: 11
  download_size: 25876361
  dataset_size: 25988024
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".

Please go to Github 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 ([email protected]).