bird v2 Object Detection Dataset and Pre-Trained Model by LeeM

Images

3762 images

Explore Dataset

Here are a few use cases for this project:

Birdwatching and Biodiversity Monitoring: Bird enthusiasts and wildlife researchers can use the "bird v2" model to automatically identify and catalog various bird species observed in specific locations, assisting in tracking biodiversity and population trends.
Wildlife Photography and Filmmaking: Professional and amateur photographers and filmmakers can use the model to quickly tag and organize their bird photos and videos, making it easier to locate specific species within their collections for post-production or archiving purposes.
Bird Feeder Analytics: Bird enthusiasts can install cameras near bird feeders and use the "bird v2" model to identify visitors, allowing them to learn more about the bird species visiting their feeders and make informed decisions about feeder locations and food types to attract specific birds.
Wildlife Conservation and Management: Conservation organizations and wildlife management agencies can use the model to analyze bird population densities within particular habitats or geographic regions, assisting in the development of informed conservation strategies and measuring the impact of their efforts.
Environmental Impact Assessments: The "bird v2" model can be used by consulting firms or government agencies conducting environmental assessments to efficiently evaluate the presence and distribution of bird species in proposed project areas, providing valuable information for determining potential environmental impacts and mitigation measures.

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{
                            bird-v2_dataset,
                            title = { bird v2 Dataset },
                            type = { Open Source Dataset },
                            author = { LeeM },
                            howpublished = { \url{ https://universe.roboflow.com/leem-pf8fb/bird-v2 } },
                            url = { https://universe.roboflow.com/leem-pf8fb/bird-v2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { feb },
                            note = { visited on 2024-04-28 },
                            }