---
license: apache-2.0
datasets:
- TIGER-Lab/VideoEval
language:
- en
metrics:
- accuracy
library_name: transformers
pipeline_tag: visual-question-answering
---

# ![MantisScore_logo](https://tiger-ai-lab.github.io/MantisScore/static/images/logo3.png) MantisScore


[Paper] | [Website](https://tiger-ai-lab.github.io/MantisScore/) | [Github](https://github.com/TIGER-AI-Lab/MantisScore) | [Datasets](https://huggingface.co/datasets/TIGER-Lab/VideoEval) | [Model](https://huggingface.co/TIGER-Lab/MantisScore) | [Demo](https://huggingface.co/spaces/Mantis-VL/MantisScore)


![MantisScore](https://tiger-ai-lab.github.io/MantisScore/static/images/teaser.png)

## Introduction
- MantisScore is a video quality evaluation model, trained on VideoEval[VideoEval](https://huggingface.co/datasets/TIGER-Lab/VideoEval),
a large video evaluation dataset with multi-aspect human scores. 

- MantisScore trained on