high resolution image object detection
时间: 2024-01-29 14:03:18 浏览: 31
High resolution image object detection refers to the process of using computer vision algorithms to identify and locate objects in high resolution images. This involves analyzing the image to identify features and patterns that correspond to specific objects of interest, and then using machine learning algorithms to classify and locate those objects within the image. High resolution image object detection is particularly useful in applications such as surveillance, medical imaging, and autonomous vehicles, where accurate and reliable object detection is critical for decision-making and safety. Some popular techniques for high resolution image object detection include deep learning, convolutional neural networks, and object detection frameworks such as YOLO and Faster R-CNN.