Deteksi Wajah Object Detection Dataset and Pre-Trained Model by Enggar Mahardana Diwangkara

Images

3519 images

Explore Dataset

Here are a few use cases for this project:

Identity Verification: Integrating the "Deteksi Wajah" model into security systems for identity verification. The system could find use in workplaces, airports, or other high-security locations where facial recognition enables access control.
Personal Photo Tagging: Using the model in social networking services, the tool could identify individuals in user-uploaded images and automatically tag them, improving the ease of searching images and relating them to their respective individuals.
Attendance Management System: In educational or corporate settings, the "Deteksi Wajah" model could be used to track attendance. A camera-based system could capture faces of students or employees and automatically mark their presence.
Person-specific Recommendation System: For platforms that personalized recommendations are important, such as online fashion stores or music streaming services, this model could be used to recognize users and provide personally tailored suggestions.
Enhanced Access Control in Personal Devices: The model can be integrated into personal devices such as laptops, smartphones, or smart home devices to offer biometric security features, ensuring the device is only accessible by recognized individuals.

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{
                            deteksi-wajah-c93vt_dataset,
                            title = { Deteksi Wajah Dataset },
                            type = { Open Source Dataset },
                            author = { Enggar Mahardana Diwangkara },
                            howpublished = { \url{ https://universe.roboflow.com/enggar-mahardana-diwangkara-lnmpz/deteksi-wajah-c93vt } },
                            url = { https://universe.roboflow.com/enggar-mahardana-diwangkara-lnmpz/deteksi-wajah-c93vt },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { aug },
                            note = { visited on 2024-05-04 },
                            }