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• W4386346390 abstract "The rapid increase in data production, thanks to technological developments and scientific research, leads to the development of Machine Learning (ML) and similar new data analysis tools. It was announced that Amazon Web Services (AWS), a cloud service provider, stored 500EB of data in 2021 [1]. ML is an alternative to traditional engineering methods and does not require field knowledge of the problem to obtain a solution. However, the implementation of ML Algorithms can be complex depending on the content of the data set, and expert knowledge is the most important factor to use these algorithms effectively. Various methods have been developed to find a solution to this problem. There are many different areas and problems that machine learning can be applied to. We have limited our research to problems that can be solved using computer vision and AutoML. We have used AutoML and computer vision-based solutions to solve object classification, detection and segmentation problems. Our goal is to develop a platform that will work without the intervention of any expert. Users can load their datasets, choose the method they want, and train their models according to the problem they choose without any other intervention. After the training process is over, they can use their models in real time by transferring them over the platform in real time with their own hardware." @default.
• W4386346390 created "2023-09-02" @default.
• W4386346390 creator A5000820923 @default.
• W4386346390 creator A5079248485 @default.
• W4386346390 date "2023-09-01" @default.
• W4386346390 modified "2023-09-27" @default.
• W4386346390 title "Computer Vision Based AutoML Platform" @default.
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• W4386346390 doi "https://doi.org/10.55525/tjst.1266144" @default.
• W4386346390 hasPublicationYear "2023" @default.
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