|
--- |
|
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 |