Face detector Computer Vision Project

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.