https://github.com/ahundt/costar_dataset
Installable python package for the costar dataset.
https://github.com/ahundt/costar_dataset
costar-dataset dataset machine-learning-dataset pytorch robotics tensorflow
Last synced: 2 months ago
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Installable python package for the costar dataset.
- Host: GitHub
- URL: https://github.com/ahundt/costar_dataset
- Owner: ahundt
- License: apache-2.0
- Created: 2018-09-10T22:10:54.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2021-02-15T19:22:33.000Z (over 4 years ago)
- Last Synced: 2025-01-22T12:14:31.356Z (4 months ago)
- Topics: costar-dataset, dataset, machine-learning-dataset, pytorch, robotics, tensorflow
- Language: Python
- Homepage: https://sites.google.com/site/costardataset
- Size: 106 KB
- Stars: 0
- Watchers: 5
- Forks: 4
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# costar_dataset
Loader for the [JHU CoSTAR Block Stacking Dataset](https://sites.google.com/site/costardataset), supports [pytorch](pytorch.org) and [tensorflow](tensorflow.org).
Contact: [Andrew Hundt](http://ahundt.github.io/)
## Getting Started:
1. [Introduction](https://sites.google.com/site/costardataset/home)
2. [Instructions](https://sites.google.com/site/costardataset/usage)
3. [Download](https://sites.google.com/site/costardataset/download)
# The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints
Please cite our paper if you use this dataset:
```
@article{hundt2019costar,
title={The CoSTAR Block Stacking Dataset: Learning with Workspace Constraints},
author={Andrew Hundt and Varun Jain and Chia-Hung Lin and Chris Paxton and Gregory D. Hager},
journal = {Intelligent Robots and Systems (IROS), 2019 IEEE International Conference on},
year = 2019,
url = {https://arxiv.org/abs/1810.11714}
}
```