• Yash Kale
• Vineet Totare
• Vivek Kumar
• Aadinath Ibtewar
• Prof. Deepali Dagale

Image mining is a critical research space in recent times that focuses on the supply of facts in records. this is in which records from the internet site is mined so that informative facts can be processed and used correctly and correctly through people. Image segmentation has gained popularity in recent years due to its usefulness in improving the quality and efficiency of various computer vision applications, particularly in e-commerce websites. The paper provides a summary of the relevant literature, introduction associated with implementing this technology. The reviewed studies suggest that e- commerce websites with image segmentation technology have higher conversion rates, lower bounce rates, and increased customer satisfaction compared to those without.

Image mining is a critical research space in recent times that focuses on the supply of facts in records. this is in which records from the internet site is mined so that informative facts can be processed and used correctly and correctly through people. Image segmentation has gained popularity in recent years due to its usefulness in improving the quality and efficiency of various computer vision applications, particularly in e-commerce websites. The paper provides a summary of the relevant literature, introduction associated with implementing this technology. The reviewed studies suggest that e- commerce websites with image segmentation technology have higher conversion rates, lower bounce rates, and increased customer satisfaction compared to those without.

"E-commerce Website Using Image Segmentation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.362-367, May-2023, Available :http://www.jetir.org/papers/JETIRFX06064.pdf

"E-commerce Website Using Image Segmentation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pp362-367, May-2023, Available at : http://www.jetir.org/papers/JETIRFX06064.pdf