wildlife Computer Vision Project

Dataset

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Description

Here are a few use cases for this project:

  1. Wildlife monitoring and conservation: Researchers and conservationists can use the "wildlife" computer vision model to monitor animal populations in the Colorado region, track species migration patterns, and evaluate the impact of human activities on various wildlife habitats.

  2. Public safety and wildlife management: Local authorities and park services may utilize this model to identify specific animal species in urban or protected areas, allowing them to make informed decisions aimed at reducing human-wildlife conflicts and managing wildlife in a sustainable manner.

  3. Biodiversity studies and ecosystem research: Environmental scientists can apply the model to gather data on wildlife biodiversity in different habitats across Colorado, helping them better understand ecosystem dynamics, species interactions, and the overall health and stability of regional ecosystems.

  4. Wildlife photography and ecotourism: Wildlife enthusiasts, photographers, and ecotourists can utilize the model as a support tool to enhance their understanding of the animals present in their surroundings, assisting them in spotting and identifying specific species during their outdoor adventures in Colorado's natural landscapes.

  5. Educational and citizen science initiatives: The "wildlife" computer vision model can be integrated into educational programs, mobile applications, or citizen science projects aiming to raise awareness about Colorado's native wildlife and foster a greater understanding of regional biodiversity, empowering the general public to contribute to conservation efforts.

Supervision

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Cite This Project

LICENSE
CC BY 4.0

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

                        @misc{
                            wildlife-l7zjk-1z5ur_dataset,
                            title = { wildlife Dataset },
                            type = { Open Source Dataset },
                            author = { Dataset },
                            howpublished = { \url{ https://universe.roboflow.com/dataset-zinng/wildlife-l7zjk-1z5ur } },
                            url = { https://universe.roboflow.com/dataset-zinng/wildlife-l7zjk-1z5ur },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { aug },
                            note = { visited on 2024-11-05 },
                            }
                        
                    

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