Sökning: "image-annotation"

Visar resultat 1 - 5 av 10 uppsatser innehållade ordet image-annotation.

  1. 1. Semi-Automatic ImageAnnotation Tool

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Miranda Alvenkrona; Tilda Hylander; [2023]
    Nyckelord :annotation; machine learning; annotation tool; image annotation; object detection; selective annotation; re-training;

    Sammanfattning : Annotation is essential in machine learning. Building an accurate object detec-tion model requires a large, diverse dataset, which poses challenges due to thetime-consuming nature of manual annotation. This thesis was made in collabora-tion with Project Ngulia, which aims at developing technical solutions to protectand monitor wild animals. LÄS MER

  2. 2. Analysis and measurement of visuospatial complexity

    Kandidat-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknik

    Författare :Alissar Al Saleh; [2023]
    Nyckelord :Computer Science; Artificial Intelligence; Visuospatial Complexity; Feature Congestion; Subband Entropy; Visual Clutter; Image annotation.;

    Sammanfattning : The thesis performs an analysis on visuospatial complexity of dynamic scenes, and morespecifically driving scenes in the propose of gaining a knowledge on human visual perception of the visual information present in a typical driving scene. The analysis and measurement of visual complexity is performed by utilizing two different measure modelsfor measuring visual clutter, Feature congestion clutter measure [1] and Subband entropyclutter measure[1] introduced by Rosenholtz, a cognitive science and research. LÄS MER

  3. 3. Identifying Chaos in Skin Lesions Using Deep Learning : A potential examination tool for dermatologists

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Marcus Odlander; [2021]
    Nyckelord :;

    Sammanfattning : This thesis investigated whether a deep learning model could learn features of Chaos,from the Chaos & Clues evaluation protocol, in a given dermatoscopic image data set. Asuccessful result could be of use in a future decision-support system for when dermatologists examine skin lesions for traces of melanoma (type of skin cancer). LÄS MER

  4. 4. Improving Automatic Image Annotation Using Metadata

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Gustav Wahlquist; [2021]
    Nyckelord :Computer vision; deep learning; instance segmentation;

    Sammanfattning : Detecting and outlining products in images is beneficial for many use cases in e-commerce, such as automatically identifying and locating products within images and proposing matches for the detections. This study investigated how the utilisation of metadata associated with images of products could help boost the performance of an existing approach with the ultimate goal of reducing manual labour needed to annotate images. LÄS MER

  5. 5. Assisted Annotation of Sequential Image Data With CNN and Pixel Tracking

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Jenny Chan; [2021]
    Nyckelord :Assistant annotation; Object detection; Object tracking; Sequential data; Assisterande annotering; Objectdetektering; Objektspårning; Sekventiell data;

    Sammanfattning : In this master thesis, different neural networks have investigated annotating objects in video streams with partially annotated data as input. Annotation in this thesis is referring to bounding boxes around the targeted objects. LÄS MER