yolov5test Computer Vision Project

coustom YOLOv5

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Description

Here are a few use cases for this project:

  1. Flood Detection and Early Warning System: The model can be used in surveillance cameras to monitor water bodies such as lakes and rivers. In real-time, it identifies and alerts for potential flood situations.

  2. Infrastructure Safety: By monitoring bridges and other similar structures, the model can help assess the safety and operational conditions based on the water levels. In the case of a rise or flood, it can aid in proactively closing bridges for public safety.

  3. Precision Farming: Farmers could employ this model to monitor water levels in agricultural fields or irrigation systems. This would help in efficient water management, averting problems of over or under-watering.

  4. Climate Studies: The model could be used in research to monitor the effects of climate change. Tracking changes in water levels of various water bodies can provide crucial data for climate studies.

  5. Urban Planning: City planners can utilize this model to monitor the water drainage system in urban landscapes. It can analyze the effectiveness of rainwater runoff management systems, identifying possible flooding areas.

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            yolov5test-pogxy_dataset,
                            title = { yolov5test Dataset },
                            type = { Open Source Dataset },
                            author = { coustom YOLOv5 },
                            howpublished = { \url{ https://universe.roboflow.com/coustom-yolov5/yolov5test-pogxy } },
                            url = { https://universe.roboflow.com/coustom-yolov5/yolov5test-pogxy },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-09-21 },
                            }