Sample Melih

Real Time Face Recognition

Object Detection

Roboflow Universe Sample Melih Real Time Face Recognition

Real Time Face Recognition Computer Vision Project

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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{
                            real-time-face-recognition-l1hhd_dataset,
                            title = { Real Time Face Recognition Dataset },
                            type = { Open Source Dataset },
                            author = { Sample Melih },
                            howpublished = { \url{ https://universe.roboflow.com/sample-melih/real-time-face-recognition-l1hhd } },
                            url = { https://universe.roboflow.com/sample-melih/real-time-face-recognition-l1hhd },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2024 },
                            month = { apr },
                            note = { visited on 2024-05-31 },
                            }
                        

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Source

Sample Melih

Last Updated

2 months ago

Project Type

Object Detection

Subject

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License

CC BY 4.0

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ID001 ID002