---
annotations_creators:
- expert-generated
- crowdsourced
license: cc-by-4.0
task_categories:
- image-to-text
- text-to-image
- object-detection
language:
- en
size_categories:
- 1K<n<10K
tags:
- iiw
- imageinwords
- image-descriptions
- image-captions
- detailed-descriptions
- hyper-detailed-descriptions
- object-descriptions
- object-detection
- object-labels
pretty_name: ImageInWords
multilinguality:
- monolingual
---

<h2>ImageInWords: Unlocking Hyper-Detailed Image Descriptions</h2> 

arXiv: 

Please visit the [webpage](https://google.github.io/imageinwords) for all the information about the IIW project, data downloads, visualizations, and much more.

<img src="https://github.com/google/imageinwords/blob/main/static/images/Abstract/1_white_background.png">
<img src="https://github.com/google/imageinwords/blob/main/static/images/Abstract/2_white_background.png">

Please reach out to iiw-dataset@google.com for thoughts/feedback/questions/collaborations.

<h3>&#129303;Hugging Face&#129303;</h3>

<li><a href="https://huggingface.co/datasets/google/imageinwords">Dataset</a></li>

```python
from datasets import load_dataset

# `name` can be one of: IIW-400, DCI_Test, DOCCI_Test, CM_3600, LocNar_Eval
# refer: https://github.com/google/imageinwords/tree/main/datasets
dataset = load_dataset("google/imageinwords", token="YOUR_HF_ACCESS_TOKEN", name="IIW-400")
```

<li><a href="https://huggingface.co/spaces/google/imageinwords-explorer">Dataset-Explorer</a></li>