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
图像人工智能
图像人工智能（Image AI）是一种用于图像识别、分类、生成和处理的人工智能技术。这项技术利用计算机视觉和深度学习算法来理解和解释图像。在图像识别和分类方面，它提供了识别和分类图像中的物体、人脸、场景等能力。例如，它可以识别照片中的人脸或动物，还可以识别汽车、建筑等物体。图像生成涉及根据给定的文本描述或示例图像生成新的图像。这使得可以创造出实际上不存在的虚构图像。图像处理包括修改或增强图像。它可以包括增加图像的分辨率、去除噪音、调整色彩平衡等任务。