The paper entitled "Framework for crack detection using deep learning" introduces a novel hierarchical classification method for detecting any type of crack such as (road cracks or solar cell cracks ). Utilizing OLenet, VGG19, and Mask RCNN. The study achieves high accuracies of 98.69% and 90.42% in classifying crack types. It is important to note that this project was under the guidance of Prof. Ayman Ezzat.

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