video annotation 2 Computer Vision Project

ABESIT

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Poultry Farm Monitoring: Video Annotation 2 can be used to monitor chickens' activities, health, and living conditions in poultry farms, allowing farmers to make informed decisions about improving productivity and maintaining optimal living conditions.

  2. Automated Chicken Counting: The model can be employed to count the number of chickens in specific areas, helping farmers keep track of their stock and manage resources more efficiently, such as distributing feed and monitoring growth.

  3. Animal Welfare in Food Production: Organizations or regulatory bodies can use Video Annotation 2 to monitor and assess the welfare of chickens in food production facilities. Such a system can aid in ensuring that suppliers adhere to ethical and humane farming standards.

  4. Education and Research: Researchers studying poultry behavior, disease transmission, or genetic traits can leverage Video Annotation 2 to accurately identify and analyze various chicken classes, accelerating their studies and advancing poultry science.

  5. Chicken Breeding Optimization: With the ability to identify specific chicken classes, the model can assist breeders in selecting desirable traits for breeding programs, ultimately contributing to the development of healthier and more resilient poultry stocks.

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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{
                            video-annotation-2_dataset,
                            title = { video annotation 2 Dataset },
                            type = { Open Source Dataset },
                            author = { ABESIT },
                            howpublished = { \url{ https://universe.roboflow.com/abesit-lsxoa/video-annotation-2 } },
                            url = { https://universe.roboflow.com/abesit-lsxoa/video-annotation-2 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-21 },
                            }
                        
                    

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