FLASH MDP Face Detection Object Detection Dataset and Pre-Trained Model by flash mdp 2023

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Explore Dataset

Here are a few use cases for this project:

Security and Surveillance: The "FLASH MDP Face Detection" can be employed in security systems to identify individuals in public spaces or private buildings. This can help prevent unauthorized access and keep track of people's movement in monitored areas.
Driver Monitoring Systems: The model can be used in advanced driver assistance systems (ADAS) and autonomous vehicles to recognize and monitor drivers' faces to ensure attentiveness, detect drowsiness or distraction, and provide timely alerts to enhance road safety.
Social Media and Photo Management: The face detection model can be utilized in social media platforms and photo management applications to automatically recognize and tag faces, enabling users to effortlessly search for people, organize their images, and create personalized albums.
Retail and Marketing Analytics: The "FLASH MDP Face Detection" can be integrated into retail environments and digital signage systems to analyze customers' faces, helping businesses gather insights on demographics, emotional responses to products, and preferred store layouts, ultimately improving the customer experience.
Smart Access and Attendance Systems: The model can be implemented in workplaces, schools, and conferences, where facial recognition is used as a means of access control or attendance tracking. This would save time, streamline operations, and enhance security while maintaining user privacy.

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.

YOLOv8

This project has a YOLOv8 model checkpoint available for inference with Roboflow Deploy. YOLOv8 is a new state-of-the-art real-time object detection model.

Cite This Project

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

@misc{
                            flash-mdp-face-detection_dataset,
                            title = { FLASH MDP Face Detection Dataset },
                            type = { Open Source Dataset },
                            author = { flash mdp 2023 },
                            howpublished = { \url{ https://universe.roboflow.com/flash-mdp-2023-euc2e/flash-mdp-face-detection } },
                            url = { https://universe.roboflow.com/flash-mdp-2023-euc2e/flash-mdp-face-detection },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-06-18 },
                            }