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Elsa Sejdi's Projects

augmented-reality icon augmented-reality

Computer vision project focused on augmented reality using marker detector and pose estimation.

binary-video-segmentation icon binary-video-segmentation

This project aims at performing a segmentation of each frame of 4 given videos using two possible methods, one based on multiple OpenCv tools, and one on the OpenCV's Watershed implementation.

cat-vs-dog-classifier icon cat-vs-dog-classifier

The goal of this project is to devise an accurate CNN-based classifier able to distinguish between Cat and Dog in images where the animal is predominant.

polygonal-markers-detector icon polygonal-markers-detector

The goal of this project is to detect, for each frame of any video belonging to the given dataset, the round markers appearing on the turn-table in the video. Such markers are detected, identified and their position and identities are stored as an output.

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