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Author/Affiliation: Nontawat ThongsibsongOpen AccessArticle
7 Pages, 3,799 KB 
AI-Based Photography Assessment System using Convolutional Neural Networks
Abstract:
Providing timely and meaningful feedback in photography education is challenging, particularly in large classes where manual assessment can delay skill development. This paper presents M-Stock, an AI-based automated photo evaluation system that uses Convolutional Neural Networks (CNNs) to assess student photography assignments on web browser. M-Stock evaluates both technical aspects (such as lighting, composition, and…
Read More(This article belongs to the SP18 (Special Issue on Computing, Engineering and Multidisciplinary Sciences 2025) & Section Interdisciplinary Applications of Computer Science (CSI))