RetinaNet: Advanced object detection system using deep learning model to detect, classify and localize objects in images/videos.
RetinaNet is an advanced object detection system that uses a state-of-the-art deep learning model to detect, classify, and localize objects in images and videos. RetinaNet is an ideal solution for any project where you need to identify multiple objects in a single frame. It is easy to use and provides accurate results with a high degree of precision.RetinaNet was specifically designed to provide high accuracy even on small objects, making it a great choice for applications like autonomous driving, medical imaging, and video surveillance. The system is highly optimized and can process multiple images simultaneously, making it a great tool for large-scale projects. Additionally, RetinaNet is open source, and you can customize, extend, and integrate it into your own projects.RetinaNet offers a great balance of performance and scalability, making it a great choice for data scientists, developers, and engineers.