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--- |
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license: mit |
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library_name: timm |
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tags: |
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- robotics |
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- vision |
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pipeline_tag: robotics |
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--- |
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<img style="max-width: 720px;" src=https://cdn-uploads.huggingface.co/production/uploads/630e567f8df86f1e5bf0d837/CISEAH0AbTJVDJuZWkqFK.jpeg></img> |
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# Dobb路E |
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[Project webpage](https://dobb-e.com) 路 [Documentation (gitbooks)](https://docs.dobb-e.com) 路 [Paper](https://arxiv.org/abs/2311.16098) |
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**Authors**: [Mahi Shafiullah*](https://mahis.life), [Anant Rai*](https://raianant.github.io/), [Haritheja Etukuru](https://haritheja.com/), [Yiqian Liu](https://www.linkedin.com/in/eva-liu-ba90a5209/), [Ishan Misra](https://imisra.github.io/), [Soumith Chintala](https://soumith.ch), [Lerrel Pinto](https://lerrelpinto.com) |
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Open-source repository of the Home Pretrained Representation (HPR) of [Dobb路E](https://dobb-e.com) and the associated paper, [On Bringing Robots Home](https://arxiv.org/abs/2311.16098) |
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<video autoplay muted style="max-width: 720px;" src="https://cdn-uploads.huggingface.co/production/uploads/630e567f8df86f1e5bf0d837/tmL48wY0F8eL2Mluizrw3.mp4"></video> |
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## What's on this repo |
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You can find our [Home Pretrained Models (HPR)](https://dobb-e.com/#models), which is a ResNet34 model trained on our dataset, [Homes of New York (HoNY)](https://dobb-e.com/#dataset), in this repo. You can download the weights if you want, or you can get started by using [Timm](https://huggingface.co/docs/timm/index). |
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```python |
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import timm |
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model = timm.create_model("hf_hub:notmahi/dobb-e", pretrained=True) |
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``` |
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You can read more about it on our [paper](https://arxiv.org/abs/2311.16098) or our [website](https://dobb-e.com). |
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Let's bring some robots home! |
