ff_ar Computer Vision Project
Updated 9 months ago
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downloadsHere are a few use cases for this project:
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Pet Identification: The "ff_ar" model could be used in veterinary offices, animal shelters, or by pet owners to identify different dog breeds and humans in a photograph or video. It can be used for categorizing the different breeds and keeping track of them.
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Security Surveillance: The model could be installed in CCTV surveillance systems to detect the presence of dogs and humans in restricted areas. It can assist in recognizing possible intruders or lost pets.
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Search and Rescue Operations: In any search and rescue operations in snowy areas, the model can aid in identifying if the missing entity is a person or a dog, while ignoring the irrelevant matter like cars.
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Dog Training Schools: In environments like dog training schools, the model can help monitor the dogs and the human trainers, facilitating data-driven performance assessments.
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Social Research: Researchers studying cohabitation or interaction of dogs and humans could use the model to assist in their investigations by analyzing photos or videos featuring both.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
ff_ar_dataset,
title = { ff_ar Dataset },
type = { Open Source Dataset },
author = { Project },
howpublished = { \url{ https://universe.roboflow.com/project-lgf8z/ff_ar } },
url = { https://universe.roboflow.com/project-lgf8z/ff_ar },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2024 },
month = { feb },
note = { visited on 2024-11-08 },
}