Manually assessing hail damages on a car bodywork is a tedious and time-consuming process. For our client, a car damage repair company, we developed a computer vision based solution that automates this process with 90% accuracy, reducing the assessment time from 40 minutes to less than 5 minutes per car. In this talk, we will present our machine learning solution and describe how we handled challenges like data scarcity and processing time constraints.
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