Webinar: Assessing Vehicle Damage – the ML way


Can we replace the traditional methods of vehicle damage inspection (for car insurance) with a Machine Learning based automated solution? Yes, we can!

In this webinar, we will learn how Deep Learning-based models are used to recognize whether a car in a given image is damaged and its type/severity. It attempts to classify the car damages into multiple classes & the emphasis on fine-tuning this model iteratively with the objective of achieving satisfactory accuracy scores.

Watch the webinar to know more about this research for future collaborations on image recognition projects in general and specifically about car insurance.

Vijay Raghani


Vijay Raghani has 13 years of professional experience with 4 years in Architect role covering all aspects of software life cycles. He is a Sr. Architect for MS Stack (SharePoint and Office 365 technologies) in Sogeti India Microsoft Practice and Innovation Lead in Sogeti India for upcoming technologies such as 'AI' (Chatbots, Cognitive Services and Artificial Intelligence). He has been involved in Solution Estimation, RFP response for SharePoint projects across various industry verticals.

More on Vijay Raghani.

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