Image AI development

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Forest Analysis

Instance Segmentation

Roboflow Universe Image AI development Forest Analysis
9

Forest Analysis Computer Vision Project

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Here are a few use cases for this project:

  1. Forest Management and Conservation: The Forest Analysis model can help forestry experts and conservationists in monitoring tree diversity and health, enabling them to make informed decisions about managing resources and creating effective plans for reforestation and habitat restoration.

  2. Precision Agriculture and Agroforestry: Landowners and farmers can use the Forest Analysis model to identify and analyze different tree species on their property, optimizing land use for agroforestry practices or crop planting, leading to better land utilization and increased crop yield.

  3. Urban Planning and Green Spaces: City planners and landscape architects can use the Forest Analysis model to assess the distribution and diversity of trees in urban areas. This information can help in the planning and design of green spaces, balancing the environmental impact of urbanization, and improving the quality of life for citizens.

  4. Climate Change Research: By tracking tree species and tree cover, researchers can study and monitor the effects of climate change on forests and their biodiversity. This information can be crucial for developing forest adaptation strategies and mitigating the negative impacts of climate change.

  5. Wildlife Habitat Analysis: Ecologists and wildlife researchers can use the Forest Analysis model to study the relationship between different tree species and the animals that rely on them for survival. This information is essential for creating and implementing conservation measures to protect endangered species and their habitats.

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{
                            forest-analysis_dataset,
                            title = { Forest Analysis Dataset },
                            type = { Open Source Dataset },
                            author = { Image AI development },
                            howpublished = { \url{ https://universe.roboflow.com/image-ai-development/forest-analysis } },
                            url = { https://universe.roboflow.com/image-ai-development/forest-analysis },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { oct },
                            note = { visited on 2024-05-03 },
                            }

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Source

Image AI development

Last Updated

7 months ago

Project Type

Instance Segmentation

Subject

Trees

Views: 1424

Views in previous 30 days: 121

Downloads: 59

Downloads in previous 30 days: 5

License

CC BY 4.0

Classes

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Instance Segmentation Model roboflow-3-n-seg