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inference: false
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license: apache-2.0
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datasets:
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- VIMA/VIMA-Data
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tags:
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- llara
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- robotics
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- vlm
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pipeline_tag: object-detection
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---
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<br>
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<be>
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# Model Card
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This repository contains three object detection models released with paper **LLaRA: Supercharging Robot Learning Data for Vision-Language Policy**
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[Xiang Li](https://xxli.me)<sup>1</sup>, [Cristina Mata](https://openreview.net/profile?id=~Cristina_Mata1)<sup>1</sup>, [Jongwoo Park](https://github.com/jongwoopark7978)<sup>1</sup>, [Kumara Kahatapitiya](https://www3.cs.stonybrook.edu/~kkahatapitiy)<sup>1</sup>, [Yoo Sung Jang](https://yjang43.github.io/)<sup>1</sup>, [Jinghuan Shang](https://elicassion.github.io/)<sup>1</sup>, [Kanchana Ranasinghe](https://kahnchana.github.io/)<sup>1</sup>, [Ryan Burgert](https://ryanndagreat.github.io/)<sup>1</sup>, [Mu Cai](https://pages.cs.wisc.edu/~mucai/)<sup>2</sup>, [Yong Jae Lee](https://pages.cs.wisc.edu/~yongjaelee/)<sup>2</sup>, and [Michael S. Ryoo](http://michaelryoo.com/)<sup>1</sup>
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<sup>1</sup>Stony Brook University <sup>2</sup>University of Wisconsin-Madison
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## Model details
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**Model type:**
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This repository contains three models trained on three subsets respectively, converted from [VIMA-Data](https://huggingface.co/datasets/VIMA/VIMA-Data).
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For the conversion code, please refer to [convert_vima.ipynb](https://github.com/LostXine/LLaRA/blob/main/datasets/convert_vima.ipynb)
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**Paper or resources for more information:**
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https://github.com/LostXine/LLaRA
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**Where to send questions or comments about the model:**
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https://github.com/LostXine/LLaRA/issues
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