Youssef Mouraffa

We have developed a novel computer vision method for evaluating inter-annotator agreement in image datasets used in deep learning model training. This research addressed the challenge of inconsistent annotations by non-experts in specific domains, like analyzing sonar images for fish detection. We Matched a mathematical equation to calculate the similarity between annotations, improving the consistency of the annotation process and potentially reducing human error. This project helped me to level up my

Immersed in the intricacies of underwater stereo vision, I mastered image calibration using Zhang's Method and YOLO for sonar and optical data, ensuring the utmost precision. My commitment to innovation drives progress in the field, enhancing the reliability of underwater data.

participating in the Orange Summer Challenge offered in collaboration with Google & EY Technology Solutions. This challenge edition revolved around the #tech4good theme, emphasizing innovative projects with a positive social impact. I collaborated in a team environment, contributing to the development and realization of our project, #KIDCAN. Among 40 competing international projects, our initiative was recognized with Google's Favorite Award and secured the 3rd prize from Orange Maroc.

During my master's program in Information Processing at the University of Hassan 2 Casablanca, I had the opportunity to participate in an Erasmus exchange program in Germany. This experience allowed me to enhance my skills and gain valuable international exposure while completing my internship duri