Skip to content

Commit

Permalink
Added license links for the task datasets and trained models (#228)
Browse files Browse the repository at this point in the history
The trained models and the task datasets are considered data derived from the correspondent scene datasets and have to be linked to related license files.
  • Loading branch information
mathfac authored Oct 15, 2019
1 parent 7f2c404 commit 55fc935
Showing 1 changed file with 7 additions and 3 deletions.
10 changes: 7 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -28,9 +28,9 @@ We also have a dev slack channel, please follow this [link](https://join.slack.c
1. [Details](#details)
1. [Data](#data)
1. [Baselines](#baselines)
1. [License](#license)
1. [Acknowledgments](#acknowledgments)
1. [License](#license)
1. [References](#references)
1. [References](#references-and-citation)

## Motivation
While there has been significant progress in the vision and language communities thanks to recent advances in deep representations, we believe there is a growing disconnect between ‘internet AI’ and embodied AI. The focus of the former is pattern recognition in images, videos, and text on datasets typically curated from the internet. The focus of the latter is to enable action by an embodied agent in an environment (e.g. a robot). This brings to the forefront issues of active perception, long-term planning, learning from interaction, and holding a dialog grounded in an environment.
Expand Down Expand Up @@ -172,7 +172,11 @@ Habitat-API supports deployment of models on a physical robot through PyRobot (h
The Habitat project would not have been possible without the support and contributions of many individuals. We would like to thank Dmytro Mishkin, Xinlei Chen, Georgia Gkioxari, Daniel Gordon, Leonidas Guibas, Saurabh Gupta, Or Litany, Marcus Rohrbach, Amanpreet Singh, Devendra Singh Chaplot, Yuandong Tian, and Yuxin Wu for many helpful conversations and guidance on the design and development of the Habitat platform.
## License
Habitat-API is MIT licensed. See the LICENSE file for details.
Habitat-API is MIT licensed. See the [LICENSE file](habitat_baselines/LICENSE) for details.
The trained models and the task datasets are considered data derived from the correspondent scene datasets.
- Matterport3D based task datasets and trained models are distributed with [Matterport3D Terms of Use](http://kaldir.vc.in.tum.de/matterport/MP_TOS.pdf) and under [CC BY-NC-SA 3.0 US license](https://creativecommons.org/licenses/by-nc-sa/3.0/us/).
- Gibson based task datasets and trained models are distributed with [Gibson Terms of Use](https://storage.googleapis.com/gibson_material/Agreement%20GDS%2006-04-18.pdf) and under [CC BY-NC-SA 3.0 US license](https://creativecommons.org/licenses/by-nc-sa/3.0/us/).
## References and Citation
1. [Habitat: A Platform for Embodied AI Research](https://arxiv.org/abs/1904.01201). Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra. IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

0 comments on commit 55fc935

Please sign in to comment.