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The project “Automobile Component Identification and collision damage analysis” aims to develop an advanced system that employs cutting-edge image processing and artificial intelligence techniques to accurately identify and categorize damages incurred by vehicles. Automobile damage analysis plays a vital role in various organizations, offering multifaceted benefits tailored to their specific needs.
For instance an insurance company can leverage this sophisticated model to effectively assess the type and precise location of damage based on the input image provided.
The model developed here is trained using the YOLO algorithm. YOLO, short for "You Only Look Once” is a state-of-the-art, real-time object detection system used in computer vision and deep learning.
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Yolo methodology
YOLO (You Only Look Once) is an object detection algorithm that rapidly and accurately identifies objects in images or videos, achieving real-time performance by simultaneously predicting bounding boxes and class probabilities in a single pass through the neural network.