Taal-Terrain Object Detection Dataset and Pre-Trained Model by KSTaal

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Explore Dataset

Here are a few use cases for this project:

Environmental Conservation: Ecologists, environmentalists, or conservation agencies could use the "Taal-Terrain" model to monitor changes in land use over time, thereby tracking deforestation, urban sprawl, or drying of water bodies, and implement necessary conservation measures.
Urban Planning: City planners and architects could use this model to map and understand the distribution of different terrains in a city or region, aiding them in developing sustainable urban designs and policies that consider existing land uses.
Agriculture Management: The model can be used by farmers or agricultural organizations to identify the allocation and extent of farm lands, and analyze their compatibility with the surrounding terrain for better crop management and improved yield.
Disaster Management: Emergency response teams can utilize the "Taal-Terrain" model to identify the distribution of residential areas, forests, and water bodies, to plan evacuation routes and strategies during natural disasters like floods, forest fires, or landslides.
Real Estate & Tourism: Real Estate developers and tourism companies may use the model to find suitable land for development based on the classification of the terrain. Are they looking for lakeside properties, farmlands, or residential areas? The model can markedly improve the efficiency of their search operations.

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{
                            taal-terrain_dataset,
                            title = { Taal-Terrain Dataset },
                            type = { Open Source Dataset },
                            author = { KSTaal },
                            howpublished = { \url{ https://universe.roboflow.com/kstaal/taal-terrain } },
                            url = { https://universe.roboflow.com/kstaal/taal-terrain },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-04-29 },
                            }