#MCV-M5 Visual Recognition Project: Object Detection and Segmentation
This repository contains the code related to the project on 'Object Detection and Segmentation' of the Module 5: Visual Recognition of the Master in Computer Vision at UAB.
The aim of this master module is to study the behaviour of different configurations of RetinaNet, Faster R-CNN and Mask R-CNN (from Detectron2) by a qualitative and quantitative evaluation on KITTI-MOTS, MOTSChallenge and out of context datasets.
The module consists of 5 different deliveries that build up to a complete pipeline. Refer to the specifics README.md for further explanations, requirements and the complete code of each week.