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用于徽标的二进制图像分类器

[英]Binary image classifier for logos

原文 2020-12-23 10:32:44 5 2 python/ image-processing/ image-classification

I am currently looking for a possibly fast way to create (or use an already existing) classifier for images.我目前正在寻找一种可能快速的方法来为图像创建（或使用已经存在的）分类器。 The main goal is to classify the images whether they are (mainly) a logo or not.主要目标是对图像进行分类，无论它们（主要）是否是徽标。 This means that I am not interested in recognizing the brand/name of the company.这意味着我对识别公司的品牌/名称不感兴趣。 But instead the model would have to tell how possible it is that the image is a logo.但相反，model 必须说明图像是徽标的可能性有多大。

Does such a categorizer already exist?这样的分类器是否已经存在？ And if not, is there any possible solution to avoid neural networks for this task?如果没有，是否有任何可能的解决方案来避免这项任务的神经网络？

Thanks in advance.提前致谢。

2 个解决方案

I am not sure about the existence of this project, but I have a couple of ideas that can work for this without neural networks.我不确定这个项目是否存在，但我有一些想法可以在没有神经网络的情况下实现这一目标。 I think as a convention neural networks would be much easier but I think it might be done K-means algorithm or by a clustering algorithm.我认为作为惯例，神经网络会容易得多，但我认为可以通过 K-means 算法或聚类算法来完成。 I have imagined like if logo data are in the same area and image data are in another same area, they can be clustered.However, I haven't done it sth like that before but theoretically, it seems logical我曾经想象过，如果标志数据在同一个区域，而图像数据在另一个同一个区域，它们可以被聚类。但是，我以前没有这样做过，但理论上，这似乎是合乎逻辑的