dataset_tg1 Computer Vision Project

TG1

Updated 13 days ago

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Classes (3)
areaTradicional
residuoInadequado
vulnerabilidadeHumana

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Description

Here are a few use cases for this project:

  1. Sustainability Management: The "dataset_tg1" computer vision model can be used by sustainability and environmental management organizations to identify areas of improper waste disposal (residuoInadequado) from aerial or satellite imagery. The detected areas can then be targeted for clean-up efforts or waste management education programs.

  2. Indigenous Land Recognition: The model can detect traditional areas (areaTradicional), aiding Indigenous rights organizations in identifying and protecting areas of historical or cultural significance. This can assist in land disputes or in preserving traditions.

  3. Urban Planning and Infrastructure Development: Regulators and urban planners can leverage the model to identify sectors with high human vulnerability (vulnerabilidadeHumana). This information can guide infrastructure development plans or social housing projects to ensure that resources are being allocated to those who need it the most.

  4. Renewable Energy Planning: Given the example of a group of solar panels, the model might be used by renewable energy consultants or companies to detect areas where solar panels are already in use. Comparing this with the areas of human vulnerability may provide insights for future placements of solar technology or other renewable resources.

  5. Disaster Management and Humanitarian Aid: The model can also be used in disaster management for identifying vulnerable human populations or areas with inadequate waste management. This information can guide disaster response, humanitarian aid delivery, or the development of evacuation plans.

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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{
                            dataset_tg1_dataset,
                            title = { dataset_tg1 Dataset },
                            type = { Open Source Dataset },
                            author = { TG1 },
                            howpublished = { \url{ https://universe.roboflow.com/tg1/dataset_tg1 } },
                            url = { https://universe.roboflow.com/tg1/dataset_tg1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { sep },
                            note = { visited on 2024-09-28 },
                            }