Galah Computer Vision Project

Nairobi University

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Description

Here are a few use cases for this project:

  1. Wildlife Conservation: "Galah" can be used for wildlife monitoring and conservation efforts. The model can quickly identify and catalog Galah birds in large amounts of footage or images, contributing vital data to research studies tracking these birds' population, behaviors, and habitats.

  2. Birdwatching App: An application can leverage this model to help birdwatchers identify Galah birds in real-time. A user can simply take a picture or capture an image, and the app can instantly identify whether the bird is a Galah, enhancing the birdwatching experience.

  3. Unmanned Aerial Vehicle (Drone) Tracking: Environmental researchers can use "Galah" to track Galah birds' migration patterns using drones. The captured imagery can be processed real-time to identify and follow the bird's path.

  4. Automated Wildlife Photo Indexing: Photographers and wildlife image repository platforms can use the "Galah" model to automatically tag and categorize images containing Galah birds, making it easier for users to discover and use these photos.

  5. Education and Training: "Galah" can be used in educational settings, such as biology or ornithology classes, to demonstrate bird identification. It could also be used to develop engaging interactive educational games or quizzes about bird species.

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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{
                            galah_dataset,
                            title = { Galah Dataset },
                            type = { Open Source Dataset },
                            author = { Nairobi University },
                            howpublished = { \url{ https://universe.roboflow.com/nairobi-university/galah } },
                            url = { https://universe.roboflow.com/nairobi-university/galah },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { may },
                            note = { visited on 2024-11-17 },
                            }
                        
                    

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