expanded_geese_detection Computer Vision Project

new-workspace-bsdcw

Updated 3 years ago

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geese
Description

Here are a few use cases for this project:

  1. Wildlife Conservation and Monitoring: Use the expanded_geese_detection model to monitor geese populations for conservation purposes, track migration patterns, and assess the health of their habitats in various regions.

  2. Birdwatching and Ornithology Research: Assist birdwatchers and ornithologists in identifying and classifying geese species in images or videos, providing valuable data for scientific research on geese behavior, ecology, and distribution.

  3. Air Traffic Safety and Bird Strike Prevention: Implement the model to detect and track geese flocks around airports or along flight paths, providing real-time information to air traffic controllers and pilots for improved safety measures while avoiding bird strike incidents.

  4. Crop Management and Agricultural Assessment: Utilize the expanded_geese_detection model to survey farmlands with large geese populations that may cause damage to crops, allowing farmers and land managers to strategize effective and ecologically responsible pest control measures.

  5. Outdoor Recreation Planning: Integrate the model into mobile applications or websites for recreational enthusiasts (e.g., hikers, campers) to identify geese-flock hotspots in the area, guiding users towards or away from desired wildlife encounters based on their preferences.

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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{
                            expanded_geese_detection_dataset,
                            title = { expanded_geese_detection Dataset },
                            type = { Open Source Dataset },
                            author = { new-workspace-bsdcw },
                            howpublished = { \url{ https://universe.roboflow.com/new-workspace-bsdcw/expanded_geese_detection } },
                            url = { https://universe.roboflow.com/new-workspace-bsdcw/expanded_geese_detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2021 },
                            month = { dec },
                            note = { visited on 2024-11-25 },
                            }
                        
                    

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