National Taiwan University

We do care the rivers

Object Detection

We do care the rivers Computer Vision Project

TRY THIS MODEL
Drop an image or

Images

1412 images
Explore Dataset

Our project is dedicated to harnessing the passion and vigilance of UK citizens who are deeply concerned about the health of their rivers. These enthusiastic individuals are always on the lookout for new developments in river environments, be it the wildlife thriving in these waters or signs of pollution and littering. Unfortunately, the existing methods of reporting such findings are hindered by outdated websites and a lack of sustained maintenance, making it challenging for these river advocates to share updates on river conditions effectively.

To address this issue, we are employing machine learning techniques to facilitate quicker and more accurate identification of various activities captured in the photographs submitted by these citizens. Our machine learning model is designed to recognize different elements in these images, whether it's wildlife, signs of pollution, or litter. This approach not only streamlines the process of monitoring river health but also ensures that key information is not overlooked.

Furthermore, we have developed a new website and a mobile application aimed at engaging a younger audience in river conservation efforts. These platforms are user-friendly and equipped with features that make it easy for users to upload photos, report river conditions, and even learn more about the local ecosystem. Our goal is to create a community-driven platform where information and updates about river health are shared promptly and efficiently.

We believe that by making river monitoring more accessible and engaging, we can inspire a larger section of the community to participate in these conservation efforts. Our vision is to create a robust network of vigilant citizens, each playing a part in safeguarding the rivers of the UK. With the collective efforts of our community, we are confident that we can maintain healthier rivers and contribute to the overall well-being of our local ecosystems.

In conclusion, through the integration of technology and community engagement, we aim to revolutionize the way river health is monitored and preserved, ensuring that our rivers remain a thriving habitat for wildlife and a pristine resource for future generations.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            we-do-care-the-rivers_dataset,
                            title = { We do care the rivers Dataset },
                            type = { Open Source Dataset },
                            author = { National Taiwan University },
                            howpublished = { \url{ https://universe.roboflow.com/national-taiwan-university-651vs/we-do-care-the-rivers } },
                            url = { https://universe.roboflow.com/national-taiwan-university-651vs/we-do-care-the-rivers },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { dec },
                            note = { visited on 2024-06-26 },
                            }
                        

Connect Your Model With Program Logic

Find utilities and guides to help you start using the We do care the rivers project in your project.

Last Updated

6 months ago

Project Type

Object Detection

Subject

outfall-animal-rubbish

Views: 82

Views in previous 30 days: 29

Downloads: 7

Downloads in previous 30 days: 1

License

CC BY 4.0

Classes

Aeration Discolouration_Colour Discolouration_Outfall Fish Modified_Channel Obsruction Outfall Outfall_Aeration Outfall_Screen Outfall_Spilling Plants Rubbish Sensor Wildlife_Algal Wildlife_Birds Wildlife_Others wildlife_invertebrate