


# LLaVA Visual Instruct 150K Dataset Card

## Dataset details

**Dataset type:**
LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.

**Dataset date:**
LLaVA Visual Instruct 150K was collected in April 2023, by prompting GPT-4-0314 API.

**Paper or resources for more information:**
https://llava-vl.github.io/

**License:**
Creative Commons Attribution 4.0 International; and it should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use

**Where to send questions or comments about the model:**
https://github.com/haotian-liu/LLaVA/issues

## Intended use
**Primary intended uses:**
The primary use of LLaVA is research on large multimodal models and chatbots.

**Primary intended users:**
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
task_categories:visual-question-answering task_categories:question-answering size_categories:100K<n<1M language:en license:cc-by-4.0 region:us
{"language": ["en"], "license": "cc-by-4.0", "size_categories": ["100K<n<1M"], "task_categories": ["visual-question-answering", "question-answering"], "pretty_name": "LLaVA Visual Instruct 150K"}
TAGS
#task_categories-visual-question-answering #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-cc-by-4.0 #region-us 




# LLaVA Visual Instruct 150K Dataset Card

## Dataset details

Dataset type:
LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.

Dataset date:
LLaVA Visual Instruct 150K was collected in April 2023, by prompting GPT-4-0314 API.

Paper or resources for more information:
URL

License:
Creative Commons Attribution 4.0 International; and it should abide by the policy of OpenAI: URL

Where to send questions or comments about the model:
URL

## Intended use
Primary intended uses:
The primary use of LLaVA is research on large multimodal models and chatbots.

Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
# LLaVA Visual Instruct 150K Dataset Card ## Dataset details

Dataset type:
LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.

Dataset date:
LLaVA Visual Instruct 150K was collected in April 2023, by prompting GPT-4-0314 API.

Paper or resources for more information:
URL

License:
Creative Commons Attribution 4.0 International; and it should abide by the policy of OpenAI: URL

Where to send questions or comments about the model:
URL ## Intended use
Primary intended uses:
The primary use of LLaVA is research on large multimodal models and chatbots.

Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
TAGS
#task_categories-visual-question-answering #task_categories-question-answering #size_categories-100K<n<1M #language-English #license-cc-by-4.0 #region-us 
 # LLaVA Visual Instruct 150K Dataset Card ## Dataset details

Dataset type:
LLaVA Visual Instruct 150K is a set of GPT-generated multimodal instruction-following data.
It is constructed for visual instruction tuning and for building large multimodal towards GPT-4 vision/language capability.

Dataset date:
LLaVA Visual Instruct 150K was collected in April 2023, by prompting GPT-4-0314 API.

Paper or resources for more information:
URL

License:
Creative Commons Attribution 4.0 International; and it should abide by the policy of OpenAI: URL

Where to send questions or comments about the model:
URL ## Intended use
Primary intended uses:
The primary use of LLaVA is research on large multimodal models and chatbots.

Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.