region-1 Object Detection Dataset and Pre-Trained Model by region1NorthEast

Images

9998 images

Explore Dataset

Here are a few use cases for this project:

Building Inspection and Assessment: "region-1" could be used by civil engineers, architects, and urban planners to evaluate the condition and quality of walls and roofs (both Pakka and Kaccha) in a specific area. This can help prioritize maintenance tasks and identify areas for improvement or development.
Disaster Relief and Damage Assessment: In the aftermath of a natural disaster, such as a flood or earthquake, "region-1" could be utilized to quickly assess damaged structures, counting damaged walls, roofs, doors, and windows to provide a comprehensive report for relief agencies and aid prioritization.
Advertising and Brand Detection: By identifying logos in images, the model can be employed by marketing agencies to study the prevalence of branding in specific regions, assess advertisement penetration, and analyze the effectiveness of outdoor marketing strategies.
Population Estimation and Crowd Analysis: By detecting persons in the dataset, "region-1" can be used to estimate the population density or monitor crowd behavior in certain areas. This information can be valuable for urban planning, public safety management, or organizing large-scale events.
Cultural Heritage Preservation: "region-1" could potentially identify traditional architectural elements such as Kaccha walls and roofs or specific regional architectural features. This data could then be used to create a record of historical and cultural heritage sites, map the spatial distribution of such sites, or assess the impact of urbanization on traditional architecture.

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{
                            region-1_dataset,
                            title = { region-1 Dataset },
                            type = { Open Source Dataset },
                            author = { region1NorthEast },
                            howpublished = { \url{ https://universe.roboflow.com/region1northeast/region-1 } },
                            url = { https://universe.roboflow.com/region1northeast/region-1 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-18 },
                            }