Object recognition is a computer vision research area concerned with developing algorithms and models that enable computers to identify and classify objects in images or videos. This involves training machine learning models on large datasets to recognize objects despite variations in shape, size, color, and orientation. Object recognition is an important task in fields such as autonomous driving, surveillance, robotics, and augmented reality. Researchers use techniques like deep learning, convolutional neural networks, and feature extraction to improve the accuracy and speed of object recognition systems.