images imagewidth (px) 64 64 | ord_labels class label 20
classes | cl_labels sequencelengths 3 3 |
|---|---|---|
0tailed frog | [
8,
6,
18
] | |
0tailed frog | [
18,
8,
9
] | |
0tailed frog | [
12,
18,
17
] | |
0tailed frog | [
13,
14,
7
] | |
0tailed frog | [
7,
16,
12
] | |
0tailed frog | [
12,
10,
13
] | |
0tailed frog | [
6,
9,
6
] | |
0tailed frog | [
13,
17,
12
] | |
0tailed frog | [
9,
8,
4
] | |
0tailed frog | [
16,
10,
18
] | |
0tailed frog | [
13,
12,
7
] | |
0tailed frog | [
4,
19,
9
] | |
0tailed frog | [
1,
9,
7
] | |
0tailed frog | [
13,
18,
9
] | |
0tailed frog | [
13,
16,
18
] | |
0tailed frog | [
12,
17,
6
] | |
0tailed frog | [
4,
13,
9
] | |
0tailed frog | [
6,
13,
7
] | |
0tailed frog | [
13,
5,
7
] | |
0tailed frog | [
4,
16,
12
] | |
0tailed frog | [
1,
15,
8
] | |
0tailed frog | [
10,
19,
6
] | |
0tailed frog | [
16,
5,
16
] | |
0tailed frog | [
7,
1,
18
] | |
0tailed frog | [
13,
12,
7
] | |
0tailed frog | [
11,
9,
12
] | |
0tailed frog | [
4,
17,
13
] | |
0tailed frog | [
7,
9,
13
] | |
0tailed frog | [
11,
7,
1
] | |
0tailed frog | [
16,
18,
13
] | |
0tailed frog | [
7,
8,
18
] | |
0tailed frog | [
13,
4,
13
] | |
0tailed frog | [
7,
9,
12
] | |
0tailed frog | [
18,
9,
12
] | |
0tailed frog | [
9,
18,
13
] | |
0tailed frog | [
9,
3,
18
] | |
0tailed frog | [
13,
8,
7
] | |
0tailed frog | [
9,
13,
14
] | |
0tailed frog | [
18,
11,
8
] | |
0tailed frog | [
17,
7,
12
] | |
0tailed frog | [
12,
13,
4
] | |
0tailed frog | [
7,
9,
7
] | |
0tailed frog | [
16,
15,
8
] | |
0tailed frog | [
16,
8,
4
] | |
0tailed frog | [
7,
11,
18
] | |
0tailed frog | [
13,
12,
6
] | |
0tailed frog | [
6,
16,
13
] | |
0tailed frog | [
13,
4,
8
] | |
0tailed frog | [
13,
3,
13
] | |
0tailed frog | [
17,
4,
12
] | |
0tailed frog | [
18,
17,
13
] | |
0tailed frog | [
19,
13,
18
] | |
0tailed frog | [
12,
5,
18
] | |
0tailed frog | [
19,
12,
12
] | |
0tailed frog | [
12,
16,
17
] | |
0tailed frog | [
6,
19,
6
] | |
0tailed frog | [
7,
18,
10
] | |
0tailed frog | [
7,
18,
14
] | |
0tailed frog | [
13,
1,
8
] | |
0tailed frog | [
19,
12,
19
] | |
0tailed frog | [
9,
19,
16
] | |
0tailed frog | [
12,
18,
6
] | |
0tailed frog | [
18,
16,
13
] | |
0tailed frog | [
13,
18,
11
] | |
0tailed frog | [
12,
2,
17
] | |
0tailed frog | [
12,
12,
18
] | |
0tailed frog | [
7,
16,
8
] | |
0tailed frog | [
6,
6,
6
] | |
0tailed frog | [
9,
13,
12
] | |
0tailed frog | [
13,
7,
18
] | |
0tailed frog | [
9,
18,
6
] | |
0tailed frog | [
9,
12,
6
] | |
0tailed frog | [
14,
14,
11
] | |
0tailed frog | [
12,
16,
7
] | |
0tailed frog | [
7,
9,
11
] | |
0tailed frog | [
17,
16,
15
] | |
0tailed frog | [
11,
13,
18
] | |
0tailed frog | [
12,
13,
12
] | |
0tailed frog | [
13,
18,
10
] | |
0tailed frog | [
13,
4,
8
] | |
0tailed frog | [
11,
18,
12
] | |
0tailed frog | [
12,
12,
13
] | |
0tailed frog | [
6,
16,
6
] | |
0tailed frog | [
5,
11,
12
] | |
0tailed frog | [
16,
12,
3
] | |
0tailed frog | [
13,
11,
16
] | |
0tailed frog | [
11,
16,
7
] | |
0tailed frog | [
12,
7,
8
] | |
0tailed frog | [
9,
10,
12
] | |
0tailed frog | [
18,
19,
14
] | |
0tailed frog | [
6,
7,
16
] | |
0tailed frog | [
6,
16,
1
] | |
0tailed frog | [
11,
16,
9
] | |
0tailed frog | [
6,
18,
13
] | |
0tailed frog | [
18,
9,
1
] | |
0tailed frog | [
8,
1,
18
] | |
0tailed frog | [
15,
1,
13
] | |
0tailed frog | [
18,
7,
12
] | |
0tailed frog | [
7,
18,
8
] | |
0tailed frog | [
13,
6,
6
] |
Dataset Card for ACLMicroImageNet10
This Complementary labeled MicroImageNet20 dataset contains 3 human-annotated complementary labels for all 10000 images in the training split of TinyImageNet200.
For more details, please visit our github or paper.
Dataset Structure
Data Instances
A sample from the training set is provided below:
{
'images': <PIL.PngImagePlugin.PngImageFile image mode=RGB size=64x64 at 0x796754E75E70>,
'ord_labels': 0,
'cl_labels': [8, 6, 18]
}
Data Fields
images: APIL.Image.Imageobject containing the 64x64 image.ord_labels: The ordinary labels of the images, and they are labeled from 0 to 19 as follows:0: tailed frog 1: scorpion 2: snail 3: american lobster 4: tabby 5: persian cat 6: gazelle 7: chimpanzee 8: bannister 9: barrel 10: christmas stocking 11: gasmask 12: hourglass 13: iPod 14: scoreboard 15: snorkel 16: suspension bridge 17: torch 18: tractor 19: triumphal arch
cl_labels: Three complementary labels for each image.
Citing
If you find this dataset useful, please cite the following:
@InProceedings{aclimage2025,
author="Mai, Tan-Ha and Ye, Nai-Xuan and Kuan, Yu-Wei and Lu, Po-Yi and Lin, Hsuan-Tien",
title="The Unexplored Potential of Vision-Language Models for Generating Large-Scale Complementary-Label Learning Data",
booktitle="Pacific-Asia Conference on Knowledge Discovery and Data Mining",
year="2025",
pages="90--102"
}
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