Sökning: "Objektsegmentering"

Hittade 2 uppsatser innehållade ordet Objektsegmentering.

  1. 1. Instance Segmentation of Multiclass Litter and Imbalanced Dataset Handling : A Deep Learning Model Comparison

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Rolf Sievert; [2021]
    Nyckelord :Machine learning; Multiclass; Deep learning; Instance segmentation; Object segmentation; Iterative stratification; Mask R-CNN; DetectoRS; Imbalanced dataset; Classification; Detection; Segmentation; Litter; Trash; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificial intelligence; Land-based litter; Computer vision; Maskininlärning; Djupinlärning; Instanssegmentering; Objektsegmentering; Mask R-CNN; DetectoRS; Obalanserat dataset; Klassificering; Detektion; Segmentering; Skräp; TACO; COCO; MMDetection; Multinomial; Cybercom; AI; Artificiell intelligens; Datorseende;

    Sammanfattning : Instance segmentation has a great potential for improving the current state of littering by autonomously detecting and segmenting different categories of litter. With this information, litter could, for example, be geotagged to aid litter pickers or to give precise locational information to unmanned vehicles for autonomous litter collection. LÄS MER

  3. 2. Scene Recognition for Safety Analysis in Collaborative Robotics

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Shaolei Wang; [2018]
    Nyckelord :Scene graph; Object segmentation; Mask R-CNN; Collaborative robot; Scengraf; Objektsegmentering; Mask R-CNN; Samarbets robot;

    Sammanfattning : In modern industrial environments, human-robot collaboration is a trend in automation to improve performance and productivity. Instead of isolating robot from human to guarantee safety, collaborative robotics allows human and robot working in the same area at the same time. LÄS MER