DD_clean_1 Computer Vision Project

uwu

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Description

Here are a few use cases for this project:

  1. Surveillance Systems: The "DD_clean_1" model can be used in security cameras or surveillance systems to identify the presence of both dogs and humans, potentially preventing break-ins or other crimes.

  2. Pet Monitoring: This model could be used to build smart pet devices that monitor a pet's activity when their owners are away. By distinguishing between pets and their owners, the devices can provide accurate activity reports.

  3. Assisting in Search and Rescue: Deploying this model on drones used for search and rescue missions, users can easily identify the presence of a person or a dog, useful in missions like finding lost hikers or pets.

  4. Retail Analytics: Businesses like pet stores could use the model to analyze foot traffic, including how many humans and dogs visit their store daily, helping them make more informed business decisions.

  5. Public Park Management: Park authorities can use this model to monitor the number of people and dogs in the area at any given time, assisting in maintaining park regulations and keeping public spaces safe.

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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{
                            dd_clean_1-mqdyg_dataset,
                            title = { DD_clean_1 Dataset },
                            type = { Open Source Dataset },
                            author = { uwu },
                            howpublished = { \url{ https://universe.roboflow.com/uwu-vsyor/dd_clean_1-mqdyg } },
                            url = { https://universe.roboflow.com/uwu-vsyor/dd_clean_1-mqdyg },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { dec },
                            note = { visited on 2024-12-20 },
                            }
                        
                    

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