faces_in_group Computer Vision Project

faces

Updated 3 years ago

55

views

3

downloads
Classes (5)
dog
person 1
person 2
person 3
person 4
Description

Here are a few use cases for this project:

  1. Mask Detection in Public Settings: The model can be used in public places like shopping malls, airports, schools, and public transport to verify compliance with public health guidelines such as wearing masks during a pandemic. It can distinguish whether person 1, person 2, etc., are wearing masks or not.

  2. Identify Pets in a Group Photo: The "faces_in_group" model can be employed to identify dogs in family or group photos. This could serve as a tool for pet photography businesses or pet care services to classify images in their database, helping users find images containing dogs more easily.

  3. Facial Recognition for Security Systems: Security systems can use the model to identify specific individuals (person 1-4) within a group, potentially helpful for proactive crime prevention or retrospective investigation.

  4. Creating User Profiles in Social Platform: Social media platforms or photo-sharing services could use the "faces_in_group" model to tag or identify users and pets in group photos, enhancing user interactivity or providing personalized recommendations.

  5. Companion Animal Identification in Residential Communities: Residential community administrations could use this technology to identify registered pets (dogs) and their owners in common areas, ensuring pet rules compliance or finding lost pets.

Supervision

Build Computer Vision Applications Faster with Supervision

Visualize and process your model results with our reusable computer vision tools.

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{
                            faces_in_group_dataset,
                            title = { faces_in_group Dataset },
                            type = { Open Source Dataset },
                            author = { faces },
                            howpublished = { \url{ https://universe.roboflow.com/faces-kdysj/faces_in_group } },
                            url = { https://universe.roboflow.com/faces-kdysj/faces_in_group },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2022 },
                            month = { may },
                            note = { visited on 2024-12-23 },
                            }
                        
                    

Similar Projects

See More