International Research Journal of Engineering and Technology (IRJET) Volume: 11 Issue: 03 | Mar 2024
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e-ISSN: 2395-0056 p-ISSN: 2395-0072
Image Correctness Application For Products On Marketplace JEEVA NILA A1, AJAY GANDHI V2, KARTHIGA M3 1Student, Dept. of Computer Science and Engineering, Bannari Amman Institute of Technology, Tamil Nadu, India 2Student, Dept. of Computer Science and Engineering, Bannari Amman Institute of Technology, Tamil Nadu, India 3Associate professor, Dept. of Computer Science and Engineering, Bannari Amman Institute of Technology, Tamil
Nadu, India ---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - In today's digital era, Online marketplaces, which give customers access to a wide range of products, have emerged as the mainstay of retail in the current digital era. The quality and clarity of product photographs have become crucial in guaranteeing customer pleasure and trust as consumers depend more and more on them to make educated purchasing decisions. A ground-breaking solution created to address the issues with erroneous or deceptive product photos is the Image Correctness Application in Product Marketplace. This software uses cutting-edge technology like machine learning and computer vision to validate and improve the quality of product photos that vendors upload.
dependent on visual cues, especially pictures of products, when making decisions. It is stressed that the precision and correctness of these photographs are essential for establishing and preserving client happiness and confidence. A groundbreaking solution created to address the issues with erroneous or deceptive product photos is the Image Correctness Application in Product Marketplace. This presents the Image Correctness Application, which is the main topic of discussion. It's billed as a game-changing solution that addresses the issues brought on by erroneous or deceptive product photos that are frequently seen in online marketplaces. The primary goal is to verify the accuracy of product images and enhance their quality.
Key Words: Machine learning, cutting edge technology,
2. LITERATURE SURVEY
computer vision, image.
Aakash Atul Alurkar [2019] examined the usage of string matching algorithms for identifying spam emails. The performance of six well-known string matching algorithms, including the Longest Common Subsequence (LCS),
1. INTRODUCTION Online marketplaces, which give customers access to a wide range of products, have emerged as the mainstay of retail in the current digital era. The importance of online marketplaces in the modern retail environment is emphasized in the opening statement. Thanks to the growth of digital platforms, customers may now easily access a wide variety of products through online marketplaces, giving them an Online marketplace, which give customers access to a wide range of products, have emerged as the mainstay of retail in the current digital era. The importance of online marketplaces in the modern retail environment is emphasized in the opening statement. Thanks to the growth of digital platforms, customers may now easily access a wide variety of products through online marketplaces, giving them an Online marketplace, which give customers access to a wide range of products, have emerged as the mainstay of retail in the current digital era. The importance of online marketplaces in the modern retail environment is emphasized in the opening statement.
Levenshtein Distance (LD), Jaro, Jaro-Winkler, Bi-gram Roberto de Alencar Lotufo et.al.,2000The Image Foresting Transform (IFT) is a versatile tool for designing, implementing, and evaluating image processing operators based on connectivity principles. It constructs a minimumcost path forest in a graph where nodes represent image pixels and arcs represent connections between pixels. The cost of a path in this graph is determined by a path-cost function, typically based on local image properties like colour, gradient, and pixel position. The roots of the forest originate from a set of seed pixels. Kendal Normant et al., 2020. Introduction to Online Fashion Marketplaces: Start by introducing the rise in popularity of online fashion marketplaces where users can sell products by providing various information including titles, prices, descriptions, and pictures. Highlight the importance of accurately categorizing these products for efficient search and recommendation systems. Challenges in Categorization: Discuss the challenges associated with categorizing fashion products based on their titles. These challenges may include variations in terminology, multiple categories/subcategories, and the need for efficient
The quality and clarity of product photographs have become crucial in guaranteeing customer pleasure and trust as consumers depend more and more on them to make educated purchasing decisions. This section emphasizes how consumers are becoming more and more
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