In this mini-project we train a Tensorflow model to perform multiclass classification on images of old posters, dating from the Belle Epoque period in France. The classifier is trained to...
In this mini-project we use a pretrained DEEPLAB model with Tensorflow to segment landscape paintings from several Art Movements, automatically highlighting the spatial arrangement of vegetation, water bodies (sea, lake,...
In this mini-projet, we use Google’s MediaPipe framework as well as a pretrained Tensorflow Lite model to predict the face mesh given an image of a mascaron (sculptured keystone). We...
In this mini-project we explore how traditional computer vision approaches can be used in order to find similarities between images. We apply these techniques to find the best match between...
In this mini-project we train a Spacy Named Entity Recognition model on titles of classical music compositions in French. We are interested to identify the work type, instruments, tonality (key),...
In this mini-project we use pretrained CENTER-NET model with Tensorflow to extract keypoints of human pose and track them in order to record folk dance choreographies.
In this mini-project we perform Natural Language Processing on proverbs and aphorisms from a variety of cultures, being primarily interested in their semantic analysis.
In this mini-project we use pretrained MASK R-CNN model with Tensorflow to detect people, who in these thematic photos are wearing traditional Japanese kimonos. These segmented kimonos are post-processed for...