---
title: vc1-large-permissive
canonical_url: "https://www.modelscope.cn/models/facebook/vc1-large-permissive"
md_url: "https://www.modelscope.cn/models/facebook/vc1-large-permissive.md"
repository: facebook/vc1-large-permissive
last_updated: 2025-05-20
license: mit
library_name:
  - pytorch
frameworks:
  - pytorch
downloads: 334
stars: 0
---

# vc1-large-permissive

> vc1-large-permissive - facebook 在 ModelScope 开源的模型。Model This is the MIT-licensed version of VC1-Large.

facebook/vc1-large-permissive 是 ModelScope 魔搭社区上的机器学习模型，采用 mit 许可。

- **Repository**: facebook/vc1-large-permissive
- **License**: mit
- **Downloads**: 334
- **Stars**: 0
- **Last updated**: 2025-05-20

Source: https://www.modelscope.cn/models/facebook/vc1-large-permissive

---

## Model
This is the MIT-licensed version of [VC1-Large](https://huggingface.co/facebook/vc1-large/tree/main).

[EAI-VC Repo](https://github.com/facebookresearch/eai-vc)
[VC-1 Website](https://eai-vc.github.io/),
[VC-1 Blogpost](https://ai.facebook.com/blog/robots-learning-video-simulation-artificial-visual-cortex-vc-1),
[VC-1 Paper](https://ai.facebook.com/research/publications/where-are-we-in-the-search-for-an-artificial-visual-cortex-for-embodied-intelligence/),


## DATASET

Sampling every_k:
### ImageNet 1,281,167 ###
  - 1
### Ego (3,538,291 frames total) ###
  - 1   # Ego4D full already subsampled with 2,790,520 frames
  - 1   # 100DOH with 99,899 frames
  - 60  # Epic Kitchens with 332,757 frames
  - 80  # SSV2 with 315,115 frames
  ### INav (779 643 frames total) ###
  - 1  # RE10K with 779,643 frames
  # Total number 5,599,101 frames



## Citation

If you use this model, please cite:

```bibtex
@inproceedings{vc2023,
      title={Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?},
      author={Arjun Majumdar and Karmesh Yadav and Sergio Arnaud and Yecheng Jason Ma and Claire Chen and Sneha Silwal and Aryan Jain and Vincent-Pierre Berges and Pieter Abbeel and Jitendra Malik and Dhruv Batra and Yixin Lin and Oleksandr Maksymets and Aravind Rajeswaran and Franziska Meier},
      year={2023},
      eprint={2303.18240},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}
```