THESIS VIDS Computer Vision Project

DP2

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Description

Here are a few use cases for this project:

  1. Veterinary Health Monitoring: The "THESIS VIDS" model can be used in veterinary practices or animal farming industries, where monitoring the health status of chickens is essential. It can automate the identification of healthy and unhealthy chickens, simplifying animal healthcare.

  2. Poultry Farm Management: Farm owners can use this model to efficiently manage their poultry by easily separating the healthy chickens from the unhealthy ones, thus preventing diseases from spreading.

  3. Study and Research: Biologists and animal researchers can use this model in their ongoing studies to differentiate between various classes of chickens and analyze patterns related to chicken health.

  4. Quality Control in Food Industry: In the food industry, particularly those dealing with poultry products, this model can help in ensuring that only healthy chickens are processed further, thereby ensuring high quality standards.

  5. Animal Welfare Agencies: These agencies can apply the model to check the conditions of chickens in different farms or markets, allowing them to take necessary action against unethical practices, if any.

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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{
                            thesis-vids_dataset,
                            title = { THESIS VIDS Dataset },
                            type = { Open Source Dataset },
                            author = { DP2 },
                            howpublished = { \url{ https://universe.roboflow.com/dp2/thesis-vids } },
                            url = { https://universe.roboflow.com/dp2/thesis-vids },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { dec },
                            note = { visited on 2024-09-26 },
                            }
                        
                    

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