region-05 Object Detection Dataset and Pre-Trained Model by region5West

Images

10002 images

Explore Dataset

Here are a few use cases for this project:

Construction and Architecture Analysis: Region-05 can be used by architects, construction companies, or urban planners to assess the types of walls (Pakka or Kaccha), roofs, doors, and windows in a specific area. This data can inform decisions on building materials, designs, and renovation projects in communities.
Disaster and Emergency Response: The model can help disaster response teams identify areas with weak infrastructure (like Kaccha walls and roofs) in order to prioritize efforts, allocate resources, and evacuate people before or during emergencies such as earthquakes, floods, or storms.
Brand Presence and Advertising: Businesses can use Region-05 to analyze images of urban areas or marketplaces and detect the presence of specific logos. This can help evaluate brand visibility, track advertising campaigns, and identify prime locations for promotional signage.
Image-based Demographic Studies: By evaluating the number of people and the condition of their dwellings in images, researchers can use the model to understand population density, living conditions, and social stratification within specific communities.
Smart Security Systems: Region-05 can be integrated with security camera systems to identify suspicious behaviors or unexpected events, such as people attempting to climb walls, break windows or doors, or tamper with logos. The system can then alert authorities or private security to potential threats.

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-05_dataset,
                            title = { region-05 Dataset },
                            type = { Open Source Dataset },
                            author = { region5West },
                            howpublished = { \url{ https://universe.roboflow.com/region5west/region-05 } },
                            url = { https://universe.roboflow.com/region5west/region-05 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-25 },
                            }