gis_dataset Computer Vision Project

faisal ahmed

Updated 2 years ago

391

views

30

downloads
Classes (9)
Highway
Industry
Orchard
Rangeland
River
barren land
crop forest
residential
Description

Here are a few use cases for this project:

  1. Urban Planning: Public entities such as urban planning departments could utilize this computer vision model to get a better understanding of urban environments, the distribution of land cover classes, and to plan future development.

  2. Agricultural Optimization: Farmers and agricultural businesses could use the model to determine optimal crop placement based on available barren land, proximity to rivers for irrigation, and avoidance of residential regions.

  3. Environmental Conservation: Conservation organizations could use it to identify forest and rangeland areas, monitor these regions over time and track changes due to industrial development or natural phenomena like deforestation.

  4. Traffic Management: Transportation departments could leverage the model to analyze the layout of current highways and residential areas, generating data that aids in the planning of future infrastructure or the improvement of current ones.

  5. Real Estate and Business Planning: Real estate companies could use the model to identify residential and industrial areas for investment opportunities. Likewise, businesses could use it for strategic placement of new branches or stores based on the land cover classes.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

Cite This Project

LICENSE
Public Domain

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

                        @misc{
                            gis_dataset_dataset,
                            title = { gis_dataset Dataset },
                            type = { Open Source Dataset },
                            author = { faisal ahmed },
                            howpublished = { \url{ https://universe.roboflow.com/faisal-ahmed/gis_dataset } },
                            url = { https://universe.roboflow.com/faisal-ahmed/gis_dataset },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { mar },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

Similar Projects

See More