Overview
Ultralytics YOLO is a state-of-the-art AI tool specializing in real-time object detection and image segmentation. Built on advancements in deep learning and computer vision, YOLO utilizes a streamlined architecture designed for optimized performance on edge devices and cloud APIs. It employs a single regression problem approach, predicting bounding boxes and class probabilities directly from full images. Key features include end-to-end NMS-free inference (in later versions like YOLO26), mosaic data augmentation, hyperparameter optimization, and automatic export to various formats like TensorFlow, ONNX, and CoreML. The platform offers pre-built models, custom model training on user datasets, and deployment capabilities across various platforms, from smartphones to production environments. It supports a range of vision AI tasks, including object detection, segmentation, pose estimation, tracking, and classification, making it suitable for both research and commercial applications.