MacID Computer Vision Project

University of penn

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Wildlife Conservation and Research: MacID can help researchers and conservationists identify and track various monkey species in their natural habitat, supporting studies on population, behavior, and habitat preservation.

  2. Zoological Parks and Animal Sanctuaries: MacID can assist zookeepers and sanctuary staff in monitoring and managing enclosures, ensuring the health and wellbeing of monkey species by accurately identifying individuals and keeping track of their interactions and activities.

  3. Wildlife Photography and Filmmaking: MacID can be used by wildlife photographers and filmmakers to automatically tag and categorize their images and footage, enabling easier retrieval and organization of their work based on the particular monkey species captured.

  4. Educational Applications: MacID can be used in interactive learning tools, like apps or websites, to teach users about different monkey species and their characteristics, helping to spread awareness about these creatures and their conservation needs.

  5. Automated Biodiversity Surveys: MacID can be used in conjunction with drones or camera traps to conduct large-scale biodiversity surveys. By accurately identifying monkey species, the model can help scientists assess overall biodiversity and monitor changes in ecosystems over time.

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{
                            macid_dataset,
                            title = { MacID Dataset },
                            type = { Open Source Dataset },
                            author = { University of penn },
                            howpublished = { \url{ https://universe.roboflow.com/university-of-penn/macid } },
                            url = { https://universe.roboflow.com/university-of-penn/macid },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-09-24 },
                            }
                        
                    

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