Sonia Abbes

Internship Missions: - Problem analysis. -literature review of MOT State of the Art of 1-stage (yolo,SSD) and 2-stage detectors (R-CNN,Fast R-CNN, Faster R-CNN) and DeepSort Algorithms. -Training yolov5s on custom dataset on Google Colab. - Development & Deployment of an end-to-end prototype using yolov5s and deepSort with feature extraction. - Evaluating the yolov5s performance metrics. Tools: python, Pytorch, Yolov5, DeepSort, CUDA, VS code, github, Robflow, Googlr colab, Kanban Method

Internship accomplishement: - Problem Analysis. - Data collection and cleaning. - Deployment of categorical classification CNN for pieces references prediction. Tools: Jupyter, python, TensorFlow, Sckitlearn, CNN...

Internship accomplishment: - Development of an image processing Algorithm which detect and locate sractchs on the fiber end face for making better decision. Tools : python, VS code, OpenCV, imutils, PIL, matplotlib