基于机器学习的张sorflow图像对象识别

Wempy Virgana Wempy, Apriansyah
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引用次数: 0

摘要

图像识别是机器学习/人工智能方法之一,可用于快速检测图像。这是科学上的技术突破之一,尤其是在计算机领域。目标检测与识别对机器自动检测目标提出了新的挑战。创建一个具有确定位置和识别图像中许多物体功能的机器学习模型仍然是计算机视觉中的一个主要挑战。目前,许多计算资源和智能算法都可以做到这一点,但这一特征只能通过配置专门的机器来检测物体来获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of image object based on machine learning using tensorflow
Image identification is one of the machine learning / artificial intelligence methods that can be used to detect an image quickly. This is one of the technological breakthroughs in science, especially in the field of computers. Object detection and recognition provides a new challenge on how to make machines detect objects automatically. Creating a machine learning model that has the function to determine the position and identify many objects in an image is still a major challenge in computer vision. Currently, many computing resources and intelligent algorithms can do this, but this feature can only be obtained by configuring a special machine to detect objects.
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