water point estimation Object Detection Dataset and Pre-Trained Model by Mmoire sur les points deau

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Explore Dataset

Here are a few use cases for this project:

Natural Resource Management: The model can be used by conservationists and environmental agencies to monitor the availability and use of water sources in different landscapes such as forests or deserts. It can help in identifying changes over time, which can be used to develop strategies for better natural resource management.
Wildlife Monitoring and Protection: This model could be useful in wildlife preservation efforts, especially in areas where water sources are scarce. By recognizing different animals such as elephants, giraffes, and herds of sheep, the model can help in tracking animal movements and understanding their water consumption patterns.
Drought Monitoring: The "water point estimation" model can be used to predict drought conditions by consistently observing the points d'eau and identifying any significant decrease in their area over time. This could facilitate early warning systems for drought-prone areas.
Urban Planning: The model can be employed by urban planners and architects for optimal placement of buildings, parks or other structures, by understanding the local water sources and elements like trees, rocks, and sand areas.
Agriculture: Farmers and agricultural institutes can use this model to identify suitable land for farming, by observing the availability of water sources, the type of soil (represented by sand), and other environmental factors like the presence of trees or rocks.

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{
                            water-point-estimation_dataset,
                            title = { water point estimation Dataset },
                            type = { Open Source Dataset },
                            author = { Mmoire sur les points deau },
                            howpublished = { \url{ https://universe.roboflow.com/mmoire-sur-les-points-deau/water-point-estimation } },
                            url = { https://universe.roboflow.com/mmoire-sur-les-points-deau/water-point-estimation },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-07-27 },
                            }