Hugging Face's logo

Datasets:
WenhaoWang
/
AnyPattern

Tasks:
Feature Extraction
Modalities:
Image
Text
Formats:
parquet
Languages:
English
Size:
< 1K
ArXiv:
Tags:
croissant
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
AnyPattern
File size: 2,504 Bytes 
b780ea1
468f7c1
b780ea1
468f7c1
634fe71
4cfb89e
 
 
a416f75
 
 
 
 
 
 
 
 
 
 
 
 
 
4cfb89e
173b31b
 
 
a1acef4
173b31b
 
 
99a2f33
 
 
a1acef4
99a2f33
 
 
468f7c1
3c937d9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
8252698
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
78e3ee5
 
 
 
 
 
 
 
 
 
 
 
 
 
3c937d9
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
 
---
license: mit
---

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={In submission},
    year={2024},
}
```

# Contact

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