dog-class Computer Vision Project
Updated a year ago
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downloadsHere are a few use cases for this project:
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Pet Adoption Centers: The computer vision model can be utilized in pet adoption centers or online portals to identify the dog breeds available automatically. This will facilitate easier search and choice for potential pet adopters.
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Dog Breeding: Breeders will find this model useful in identifying and documenting specific breeds in their possession, helping to maintain breed purity and prevent misclassification.
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Vet Clinics & Animal Hospitals: Veterinarians can use the model to identify a specific breed easily which will help in diagnosing breed-specific illnesses, predicting potential future health conditions, and providing appropriate care.
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Lost & Found Pet Apps: This solution can be incorporated into lost & found pet applications where users can upload images of lost or found dogs. The tool will identify the dog's breed, which can help in reuniting the pet with its original owner.
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Training and Behavior Understanding: Dog trainers can use this model to identify a dog's breed and better understand the likely behaviors, training needs and best handling practices for those specific breeds. This could contribute to more effective and tailored training sessions.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
dog-class_dataset,
title = { dog-class Dataset },
type = { Open Source Dataset },
author = { Cudo },
howpublished = { \url{ https://universe.roboflow.com/cudo/dog-class } },
url = { https://universe.roboflow.com/cudo/dog-class },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { apr },
note = { visited on 2024-09-23 },
}