fyp1 Computer Vision Project
Updated 2 years ago
Here are a few use cases for this project:
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Pet-based Mobile Applications: The "fyp1" model could be implemented into mobile applications that distinguish between cats and dogs. This could be utilized in a variety of ways such as identifying stray animals, helping owners understand their behavior, or aid in veterinary diagnostic procedures.
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Surveillance Systems: The model can be integrated into surveillance systems to detect the presence of cats and dogs in particular areas. This could be helpful for wildlife research, or for monitoring areas where the presence of these animals is a concern.
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Pet Shop Management: The model might be useful in pet shops or animal shelters to automate the process of cataloging intake and distinguishing between cats and dogs to simplify management tasks.
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Augmented Reality Games: In AR games that involve virtual interaction with real-world animals, the model could be used to identify cats and dogs, enhancing the gaming experience.
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Animal Control: In cities with an animal control agency, the model could be used to identify whether a loose animal is a cat or dog, helping to speed up the process of returning the animal to its owner or providing the appropriate care.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
fyp1-svfsg_dataset,
title = { fyp1 Dataset },
type = { Open Source Dataset },
author = { FYP },
howpublished = { \url{ https://universe.roboflow.com/fyp-dpifn/fyp1-svfsg } },
url = { https://universe.roboflow.com/fyp-dpifn/fyp1-svfsg },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2022 },
month = { jun },
note = { visited on 2024-11-23 },
}