YOLO (You Only Look Once) is an open source neural network framework written in C and CUDA that uses Convolutional Neural Networks for real-time object detection and recognition.
It is fast, easy to install, and supports CPU and GPU computation.
YOLOv7, YOLOv4, and Scaled-YOLOv4 are some of the state-of-the-art object detectors that can be implemented using YOLO.
Features
- Fast and real-time object detection
- Supports CPU and GPU computation
- Easy to install and use
Use Cases
- Real-time object detection
- Computer vision applications
- Video surveillance
- Autonomous vehicles
Suited For
- Researchers
- Developers
- Data scientists
- Machine learning enthusiasts