pets Computer Vision Project

Marina Marina

Updated 2 years ago

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Description

Here are a few use cases for this project:

  1. Lost Pet Finder: This computer vision model can be used in a lost pet finder app that allows users to upload pictures of lost pets, which then searches through databases of found pets in shelters or reported by others, helping to reunite pet owners with their missing animals.

  2. Pet Adoption Platform: The model can be employed in a pet adoption website or app, streamlining the process of finding specific types of pets, such as particular breeds of cats or dogs. Users can easily find the pets they are interested in adopting by simply providing images or searching through the platform's catalog.

  3. Pet Breed Identification: The "pets" computer vision model can be utilized to identify and provide essential information about different breeds of cats and dogs to potential pet owners or enthusiasts wanting to learn more about specific breeds. This can help in making educated decisions while choosing a suitable pet based on specific needs or preferences.

  4. Pet Care and Training Customization: This model can help pet care providers or trainers to customize their services for different breeds of cats and dogs. By accurately identifying pets, they can tailor their services, advice, and recommendations to better suit the specific needs and traits of the animals.

  5. Monitoring Wildlife and Tracking Stray Pets: This computer vision model can be integrated into surveillance systems in urban or suburban areas to monitor and identify stray pets or invasive species, allowing authorities to take appropriate action for animal control, relocation or rescue operations.

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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{
                            pets-64nid_dataset,
                            title = { pets Dataset },
                            type = { Open Source Dataset },
                            author = { Marina Marina },
                            howpublished = { \url{ https://universe.roboflow.com/marina-marina-dpl3g/pets-64nid } },
                            url = { https://universe.roboflow.com/marina-marina-dpl3g/pets-64nid },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { nov },
                            note = { visited on 2024-11-22 },
                            }
                        
                    

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