Company Object Detection Dataset and Pre-Trained Model by Universiti Sains Malaysia

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Explore Dataset

Here are a few use cases for this project:

Security Surveillance: The "Company" model can be used in a security surveillance system where it identifies and logs individuals detected in the footage, helping to maintain safe environments in both public and private settings.
Attendance Management: For office environments or events, the model could be used to manage attendance by recognizing and recording the entrance and exit of individuals.
Retail Analytics: The model could provide valuable insights to retailers about foot traffic, tracking who comes in and out of the store, distinguishing between staff and customer.
Interactive Experiences: In museums or educational facilities, it could be used to create interactive experiences where the system identifies the number of people watching an exhibit and personalizes the content accordingly.
Smart Home Technology: "Company" model can also be used in smart home technologies for recognizing authorized personnel in a given space to automate certain processes like personalized settings, security alerts, etc.

Trained Model API

This project has a trained model available that you can try in your browser and use to get predictions via our Hosted Inference API and other deployment methods.

Cite This Project

If you use this dataset in a research paper, please cite it using the following BibTeX:

@misc{
                            company_dataset,
                            title = { Company Dataset },
                            type = { Open Source Dataset },
                            author = { Universiti Sains Malaysia },
                            howpublished = { \url{ https://universe.roboflow.com/universiti-sains-malaysia-kmhru/company } },
                            url = { https://universe.roboflow.com/universiti-sains-malaysia-kmhru/company },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { jun },
                            note = { visited on 2024-06-16 },
                            }