COYO-700M is a large-scale dataset that contains 747M image-text pairs as well as many other meta-attributes to increase the usability to train various models. Our dataset follows a similar strategy to previous vision-and-language datasets, collecting many informative pairs of alt-text and its associated image in HTML documents. We expect COYO to be used to train popular large-scale foundation models complementary to other similar datasets.
More details on the data acquisition process can be found in [our paper] (which will be updated soon).
"\n \n Load image into Gallery viewer, valentine's day roses\n \n" → "Load image into Gallery viewer, valentine's day roses"
“thumbnail for”, “image for”, “picture of”
id | url | text | width | height | image_phash | text_length | word_count | num_tokens_bert | num_tokens_gpt | num_faces | clip_similarity_vitb32 | clip_similarity_vitl14 | nsfw_score_opennsfw2 | nsfw_score_gantman | watermark_score | aesthetic_score_laion_v2 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4896263451343 | Fishing Fleet (Monterey), California art by Art Riley. HD giclee art prints for sale at CaliforniaWatercolor.com - original California paintings, & premium giclee prints for sale | 600 | 447 | bac58374982e0fc7 | 178 | 25 | 39 | 40 | 0 | 0.319336 | 0.248169 | 2.54512e-05 | 0.0293861 | 0.0406009 | 7.04812 | |
1425929344479 | The Gate by Pete2453 | 600 | 347 | 8374726575bc0f8a | 20 | 4 | 6 | 6 | 0 | 0.24939 | 0.203735 | 6.97374e-06 | 0.00823276 | 0.0721415 | 6.98521 | |
7456063527931 | Beautiful Pictures From the Shores of the Mythical Land (42 | 600 | 320 | 949d1fe559e2cc90 | 59 | 10 | 11 | 14 | 0 | 0.290771 | 0.179321 | 0.0130615 | 0.0178628 | 0.489642 | 6.94643 | |
3221225511175 | contemporary expensive lighting fixtures with minimum lighting | 800 | 499 | e5ea35075ab912c6 | 62 | 7 | 7 | 8 | 0 | 0.263916 | 0.217896 | 0.000990868 | 0.0137114 | 0.0960748 | 4.57594 | |
5626407855002 | Nintendo Co.'s Super Mario is displayed on coffee mugs for sale at the Nintendo World store in New York, U.S., on Friday, May 17, 2013. | 2000 | 1309 | 9311891e9437f4f3 | 135 | 27 | 37 | 35 | 0 | 0.400878 | 0.316650 | 0.00362968 | 0.0317519 | 0.0022693 | 6.324910 | |
1125282207474 | FILE PHOTO: A rainbow appears on the Auckland skyline featuring Sky Tower in New Zealand | 800 | 525 | 85b89c0166ee63be | 88 | 15 | 16 | 16 | 0 | 0.4453125 | 0.3505859 | 2.640485e-05 | 0.012074 | 0.0219129 | 5.294523 | |
1434519186493 | A man covers himself with algae as he poses for photographs on a beach in Qingdao, Shandong province on Tuesday, July 23, 2013. -- FILE PHOTO: REUTERS | 860 | 573 | f2c48dabbf93810a | 150 | 26 | 35 | 36 | 7 | 0.4165039 | 0.3427734 | 0.025009 | 0.01608 | 0.072775 | 6.833739 |
count | ratio | |
---|---|---|
# of image-text pairs | 746,972,269 | 100.00% |
# of unique urls | 656,114,783 | 87.84% |
# of unique image_phash | 579,679,137 | 77.60% |
# of unique text | 566,253,888 | 75.81% |
name | type | description |
---|---|---|
id | long | Unique 64-bit integer ID generated by monotonically_increasing_id() |
url | string | The image URL extracted from the src attribute of the <img> tag |
text | string | The text extracted from the alt attribute of the <img> tag |
width | integer | The width of the image |
height | integer | The height of the image |
image_phash | string | The perceptual hash(pHash) of the image |
text_length | integer | The length of the text |
word_count | integer | The number of words separated by spaces. |
num_tokens_bert | integer | The number of tokens using BertTokenizer |
num_tokens_gpt | integer | The number of tokens using GPT2TokenizerFast |
num_faces | integer | The number of faces in the image detected by SCRFD |
clip_similarity_vitb32 | float | The cosine similarity between text and image(ViT-B/32) embeddings by OpenAI CLIP |
clip_similarity_vitl14 | float | The cosine similarity between text and image(ViT-L/14) embeddings by OpenAI CLIP |
nsfw_score_opennsfw2 | float | The NSFW score of the image by OpenNSFW2 |
nsfw_score_gantman | float | The NSFW score of the image by GantMan/NSFW |
watermark_score | float | The watermark probability of the image by our internal model |
aesthetic_score_laion_v2 | float | The aesthetic score of the image by LAION-Aesthetics-Predictor-V2 |
width | height | text_length | word_count | num_tokens_bert | num_tokens_gpt | num_faces | |
---|---|---|---|---|---|---|---|
mean | 621.78 | 540.99 | 68.53 | 11.13 | 15.75 | 17.24 | 0.60 |
min | 200 | 200 | 6 | 3 | 1 | 3 | 0 |
max | 21449 | 22507 | 1000 | 323 | 811 | 1523 | 736 |
watermark_score | clip_similarity_vitb32 | clip_similarity_vitl14 | aesthetic_score_laion_v2 | nsfw_score_opennsfw2 | |
---|---|---|---|---|---|
mean | 0.178544 | 0.291266 | 0.254632 | 4.769132 | 0.012903 |
min | 0.0 | -0.080871 | -0.176269 | 1.171712 | 0.0 |
max | 1.0 | 0.591796 | 0.581542 | 8.082607 | 0.499755 |
We empirically validated the quality of COYO dataset by re-implementing popular models such as ALIGN, unCLIP, and ViT. We trained these models on COYO-700M or its subsets from scratch, achieving competitive performance to the reported numbers or generated samples in the original papers. Since this observation supports the high quality of our dataset, we hope it to be continuously updated with open collaboration. Our pre-trained models and training codes will be released soon along with the technical report.
Model | Data | ImageNet KNN | COCO I2T | COCO T2I |
---|---|---|---|---|
EfficientNet-B7 + BERT-base | ALIGN-1.8B | 69.300 | 55.400 | 41.700 |
EfficientNet-B7 + BERT-base | COYO-700M | 68.618 | 59.000 | 42.419 |
A high quality picture of a medieval knight with golden armor | A person with the head of a cat in the style of Andy Warhol |
A pencil drawing of an astronaut riding a horse | Goryeo celadon in the shape of darth vader |
Model | Data | ImageNet Validation Top-1 Acc |
---|---|---|
ViT-L/16 | JFT-300M | 87.76% |
ViT-L/16 | COYO-Labeled-300M | 87.24% |
image_phash
.If you apply this dataset to any project and research, please cite our code:
@misc{kakaobrain2022coyo-700m,
title = {COYO-700M: Image-Text Pair Dataset},
author = {Byeon, Minwoo and Park, Beomhee and Kim, Haecheon and Lee, Sungjun and Baek, Woonhyuk and Kim, Saehoon},
year = {2022},
howpublished = {\url{https://github.com/kakaobrain/coyo-dataset}},
}
The COYO dataset is recommended to be used for research purposes. Kakao Brain tried to construct a "Safe" dataset when building the COYO dataset. (See Data Filtering Section) Kakao Brain is constantly making efforts to create more "Safe" datasets. However, despite these efforts, this large-scale dataset was not hand-picked by humans to avoid the risk due to its very large size (over 700M). Keep in mind that the unscreened nature of the dataset means that the collected images can lead to strongly discomforting and disturbing content for humans. The COYO dataset may contain some inappropriate data, and any problems resulting from such data are the full responsibility of the user who used it. Therefore, it is strongly recommended that this dataset be used only for research, keeping this in mind when using the dataset, and Kakao Brain does not recommend using this dataset as it is without special processing to clear inappropriate data to create commercial products.
The COYO dataset of Kakao Brain is licensed under CC-BY-4.0 License. The full license can be found in the LICENSE.cc-by-4.0 file. The dataset includes “Image URL” and “Text” collected from various sites by analyzing Common Crawl data, an open data web crawling project. The collected data (images and text) is subject to the license to which each content belongs.
While Open Source may be free to use, that does not mean it is free of obligation. To determine whether your intended use of the COYO dataset is suitable for the CC-BY-4.0 license, please consider the license guide. If you violate the license, you may be subject to legal action such as the prohibition of use or claim for damages depending on the use.
COYO dataset was released as an open source in the hope that it will be helpful to many research institutes and startups for research purposes. We look forward to contacting us from various places who wish to cooperate with us.