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update aws download option
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hanzheteng committed Dec 8, 2023
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -12,7 +12,7 @@ CitrusFarm is a multimodal agricultural robotics dataset that provides both **mu
**Related Workshop Spotlight:** [Present and Future of Agricultural Robotics and Technologies: Academic and Industry Perspectives](https://sites.google.com/view/agrobotics) (IROS 2023)

**Related Publications:**
H. Teng, Y. Wang, X. Song and K. Karydis, "Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms", in the 18th International Symposium on Visual Computing (ISVC 2023). [[paper](https://link.springer.com/chapter/10.1007/978-3-031-47969-4_44)] [[preprint](https://arxiv.org/abs/2309.15332)]
H. Teng, Y. Wang, X. Song and K. Karydis, "Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms", In International Symposium on Visual Computing (ISVC 2023). [[paper](https://link.springer.com/chapter/10.1007/978-3-031-47969-4_44)] [[preprint](https://arxiv.org/abs/2309.15332)]
```
@inproceedings{teng2023multimodal,
title={Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms},
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9 changes: 5 additions & 4 deletions docs/download.md
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Expand Up @@ -42,17 +42,18 @@ For a complete file list, please see [dataset_file_list.yaml](https://raw.github
## Download
We host [our dataset](https://registry.opendata.aws/citrus-farm/) on Amazon Web Services (AWS), sponsored by AWS [Open Data program](https://aws.amazon.com/opendata/open-data-sponsorship-program/).

You may use this Python script ([download_citrusfarm.py](https://raw.githubusercontent.com/UCR-Robotics/Citrus-Farm-Dataset/main/scripts/download_citrusfarm.py)) to download the dataset from AWS.
Option 1: You may use this Python script ([download_citrusfarm.py](https://raw.githubusercontent.com/UCR-Robotics/Citrus-Farm-Dataset/main/scripts/download_citrusfarm.py)) to download the dataset from AWS.
- By default, the script will download all sequences and all modalities.
- Change `folder_list` in the script to download only sequences of your interest.
- Change `modality_list` in the script to download only modalities of your interest.

If you are a user of AWS, you can also download all data directly from the S3 bucket using AWS CLI tool:
Option 2: If you are using a Ubuntu computer, you can also download all data directly from the S3 bucket using AWS CLI tool (No AWS account required):
```
aws s3 sync s3://ucr-robotics/citrus-farm-dataset/ /path/to/local/directory
sudo apt install awscli
aws s3 sync --no-sign-request s3://ucr-robotics/citrus-farm-dataset/ /path/to/local/directory
```

Alternatively, you may download the dataset from two other backup sources:
Option 3: Alternatively, you may download the dataset from two other cloud services:
- [Google Drive](https://drive.google.com/drive/folders/12h5CAagVVtz1Od9bK_O6hDMyG8Xh_DLG?usp=sharing)
- [Baidu Pan](https://pan.baidu.com/s/1NVRTHKvFUue2qaQsb7wlVQ?pwd=ilas) (Credits to Yicheng Jin & Qi Wu@SJTU; please contact robotics_qi@sjtu.edu.cn for any download issue.)

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2 changes: 1 addition & 1 deletion docs/index.md
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Expand Up @@ -17,7 +17,7 @@ CitrusFarm is a multimodal agricultural robotics dataset that provides both **mu
**Related Workshop Spotlight:** [Present and Future of Agricultural Robotics and Technologies: Academic and Industry Perspectives](https://sites.google.com/view/agrobotics) (IROS 2023)

**Related Publications:**
H. Teng, Y. Wang, X. Song and K. Karydis, "Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms", in the 18th International Symposium on Visual Computing (ISVC 2023). [[paper](https://link.springer.com/chapter/10.1007/978-3-031-47969-4_44)] [[preprint](https://arxiv.org/abs/2309.15332)]
H. Teng, Y. Wang, X. Song and K. Karydis, "Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms", In International Symposium on Visual Computing (ISVC 2023). [[paper](https://link.springer.com/chapter/10.1007/978-3-031-47969-4_44)] [[preprint](https://arxiv.org/abs/2309.15332)]
```
@inproceedings{teng2023multimodal,
title={Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms},
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