Face detector Object Detection Dataset and Pre-Trained Model by Lo

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Explore Dataset

Your Roboflow-based human detector is an object detection system that uses machine learning algorithms to identify the presence of humans in images or videos in real-time.

It has been trained on thousands of images of people to achieve maximum accuracy in detecting humans in different environments and situations. The dataset used for the model training was annotated with precise labels to indicate the presence of people in each image.

The detection model uses a machine learning method based on computer vision, which employs convolutional neural network (CNN) algorithms to extract visual features from images and use them to detect people.

The human detector can be used in a variety of use cases, such as security surveillance, crowd management, person recognition, etc. It is easy to use and can be integrated into a variety of systems and applications through its API.

In summary, this Roboflow-based human detector is a powerful and reliable solution for detecting humans in images and videos, and it is capable of providing accurate real-time results in a variety of scenarios.

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{
                            face-detector-k3mlx_dataset,
                            title = { Face detector Dataset },
                            type = { Open Source Dataset },
                            author = { Lo },
                            howpublished = { \url{ https://universe.roboflow.com/lo-qykbw/face-detector-k3mlx } },
                            url = { https://universe.roboflow.com/lo-qykbw/face-detector-k3mlx },
                            journal = { Roboflow Universe },
                            publisher = { Roboflow },
                            year = { 2023 },
                            month = { apr },
                            note = { visited on 2024-04-28 },
                            }