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[CVPR 2020 & 2021 & 2022 & 2023] Agriculture-Vision Dataset, Prize Challenge and Workshop: A joint effort with many great collaborators to bring Agriculture and Computer Vision/AI communities together to benefit humanity!
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| 2026-07-31 | 259 |
| 2026-08-06 | 259 |
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# Agriculture-Vision
Agriculture-Vision Dataset, Challenge and Workshop (CVPR 2020)
A joint effort with many great collaborators to bring Agriculture and Computer Vision / AI communities together to benefit humanity!
## Update:
**The 2nd Agriculture-Vision Prize Challenge [has started](https://twitter.com/humphrey_shi/status/1382803774243287043?s=20) and new deadline is June 5, 2021. Total Prize: 20,000$.**
## Content
- [Papers](#papers)
- [Dataset](#dataset)
* [Agriculture-Vision Challenge dataset](#agriculture-vision-challenge-dataset)
* [Download](#download)
- [Evaluation](#evaluation)
* [Evaluation Metric](#evaluation-metric)
* [Submission](#submission)
- [Challenge](#challenge)
* [Teams and Methods](#teams-and-methods)
* [Challenge leaderboard](#challenge-leaderboard)
- [Workshop](#workshop)
* [Schedule](#schedule)
* [Paper Track](#paper-track)
* [Accepted Papers](#accepted-papers)
* [Accepted Posters](#accepted-posters)
## Papers:
CVPR paper on Agriculture-Vision <br/>
[ArXiv](https://arxiv.org/abs/2001.01306), [CVPR 2020 open access](https://openaccess.thecvf.com/content_CVPR_2020/html/Chiu_Agriculture-Vision_A_Large_Aerial_Image_Database_for_Agricultural_Pattern_Analysis_CVPR_2020_paper.html)
```BibTex
@article{chiu2020agriculture,
title={Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis},
author={Chiu, Mang Tik and Xu, Xingqian and Wei, Yunchao and Huang, Zilong and Schwing, Alexander and Brunner, Robert and Khachatrian, Hrant and Karapetyan, Hovnatan and Dozier, Ivan and Rose, Greg and others},
journal={arXiv preprint arXiv:2001.01306},
year={2020}
}
@InProceedings{Chiu_2020_CVPR,
author = {Chiu, Mang Tik and Xu, Xingqian and Wei, Yunchao and Huang, Zilong and Schwing, Alexander G. and Brunner, Robert and Khachatrian, Hrant and Karapetyan, Hovnatan and Dozier, Ivan and Rose, Greg and Wilson, David and Tudor, Adrian and Hovakimyan, Naira and Huang, Thomas S. and Shi, Honghui},
title = {Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
```
CVPR Workshop paper on the 1st Agriculture-Vision Challenge (challenge dataset, methods and results) <br/>
[ArXiv](https://arxiv.org/abs/2004.09754), [CVPR 2020 open access](https://openaccess.thecvf.com/content_CVPRW_2020/html/w5/Chiu_The_1st_Agriculture-Vision_Challenge_Methods_and_Results_CVPRW_2020_paper.html)
```BibTex
@article{chiu20201st,
title={The 1st Agriculture-Vision Challenge: Methods and Results},
author={Chiu, Mang Tik and Xu, Xingqian and Wang, Kai and Hobbs, Jennifer and Hovakimyan, Naira and Huang, Thomas S. and Shi, Honghui and others},
journal={arXiv preprint arXiv:2004.09754},
year={2020}
}
@InProceedings{Chiu_2020_CVPR_Workshops,
author = {Chiu, Mang Tik and Xu, Xingqian and Wang, Kai and Hobbs, Jennifer and Hovakimyan, Naira and Huang, Thomas S. and Shi, Honghui},
title = {The 1st Agriculture-Vision Challenge: Methods and Results},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
```
## Dataset
### Agriculture-Vision Challenge Dataset
<img src="images/cs.gif" width="300" title="Cloud shadow"> <img src="images/dp.gif" width="300" title="Double plant"> <img src="images/ps.gif" width="300" title="Planter skip">
<img src="images/sw.gif" width="300" title="Standing water"> <img src="images/ww.gif" width="300" title="Waterway"> <img src="images/wc.gif" width="300" title="Weed cluster">
The dataset used in this challenge is a subset of the [Agriculture-Vision dataset](https://arxiv.org/abs/2001.01306). The challenge dataset contains 21,061 aerial farmland images captured throughout 2019 across the US. Each image consists of four 512x512 color channels, which are RGB and Near Infra-red (NIR). Each image aExcerpt of 27,272 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
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