TG_bot_3 Computer Vision Project

dogsaddcamera

Updated 7 months ago

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Description

Here are a few use cases for this project:

  1. Pet Monitoring: This computer vision model could be used to develop a smart pet monitoring system. By identifying dogs and persons, it can provide real-time video analysis, alert owners when their pets are active, or if there are unknown humans present.

  2. Intelligent Surveillance: TG_bot_3 can be used in intelligent surveillance systems, identifying when a dog enters a restricted area or a person who is not expected enters a certain zone either in a public or private setting.

  3. Social Media Analysis: The model could be used to analyze social media content, generating insights about the frequency of dogs or people in posted images, which could be useful for pet-related businesses for market research or targeted advertising.

  4. Lost Dog Finder: This model could be used in a mobile application that scans public CCTV feeds or user-uploaded content to identify lost dogs, notifying the owners when potential matches are found.

  5. Training and Behavior Analysis: Dog trainers and behaviorists can use this model to monitor dogs' interactions with humans, providing valuable insights into changes over time or the efficacy of certain training methods.

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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{
                            tg_bot_3_dataset,
                            title = { TG_bot_3 Dataset },
                            type = { Open Source Dataset },
                            author = { dogsaddcamera },
                            howpublished = { \url{ https://universe.roboflow.com/dogsaddcamera/tg_bot_3 } },
                            url = { https://universe.roboflow.com/dogsaddcamera/tg_bot_3 },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { feb },
                            note = { visited on 2024-09-27 },
                            }
                        
                    

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