Product defect categorization using machine vision through machine learning
نویسندگان
چکیده
منابع مشابه
Applying Machine Learning to Product Categorization
We present a method for classifying products into a set of known categories by using supervised learning. That is, given a product with accompanying informational details such as name and descriptions, we group the product into a particular category with similar products, e.g., ‘Electronics’ or ‘Automotive’. To do this, we analyze product catalog information from different distributors on Amazo...
متن کاملArabic Text Categorization using Machine Learning Approaches
Arabic Text categorization is considered one of the severe problems in classification using machine learning algorithms. Achieving high accuracy in Arabic text categorization depends on the preprocessing techniques used to prepare the data set. Thus, in this paper, an investigation of the impact of the preprocessing methods concerning the performance of three machine learning algorithms, namely...
متن کاملA Machine Learning Approach for Product Matching and Categorization
Consumers today have the option to purchase products from thousands of e-shops. However, the completeness of the product specifications and the taxonomies used for organizing the products differ across different e-shops. To improve the consumer experience, e.g., by allowing for easily comparing offers by different vendors, approaches for product integration on the Web are needed. In this paper,...
متن کاملUsing machine learning for defect detection
In this paper we present an approach to defect detection in images based on machine learning algorithms. A qualitative model of defect has been devised based on human experience. A set of vision primitives measuring defect features has been deened. Objects in images candidate to be classiied as defects are submitted to automatic classiication, which is achieved with learning by examples algorit...
متن کاملOn Software Defect Prediction Using Machine Learning
The goal of this paper is to catalog the software defect prediction using machine learning. Over the last few years, the eld of software defect prediction has been extensively studied because of it's crucial position in the area of software reliability maintenance, software cost estimation and software quality assurance. An insurmountable problem associated with software defect prediction is th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2020
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1716/1/012029