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A Study on the Image Detection Using Convolution Neural Networks and TenserFlow

机译:卷积神经网络和TensorFlow的图像检测研究

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Image detection is the method of classifying the image with the trained model when given with the image that is to be classified by extracting feature from the image. With the advancement in the field of machine learning it has become easy to train the model to classify various types of images and image detection has gained huge application in real life. This paper presents a study on the image detection using CNN and TenserFlow for the image detection. In this work experiment is performed using different self collected dataset and their results are evaluated.
机译:图像检测是当给定要通过从图像中提取特征进行分类的图像时,利用训练后的模型对图像进行分类的方法。随着机器学习领域的发展,训练模型以对各种类型的图像进行分类变得容易,并且图像检测在现实生活中得到了广泛的应用。本文提出了使用CNN和TenserFlow进行图像检测的研究。在这项工作中,实验是使用不同的自收集数据集进行的,并对它们的结果进行了评估。

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