Essays about: "dataannotering"

Found 3 essays containing the word dataannotering.

  1. 1. Resource-efficient image segmentation using self-supervision and active learning

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Muriel Max; [2021]
    Keywords : Image Segmentation; Deep Learning; Active Learning; Self-supervision; Pretraining; Bildsegmentering; Djupinlärning; Active Learning; självövervakad träning; Pre-training;

    Abstract : Neural Networks have been demonstrated to perform well in computer vision tasks, especially in the field of semantic segmentation, where a classification is performed on a per pixel-level. Using deep learning can reduce time and effort in comparison to manual segmentation, however, the performance of neural networks highly depends on the data quality and quantity, which is costly and time-consuming to obtain; especially for image segmentation tasks. READ MORE

  3. 2. Bootstrapping Annotated Job Ads using Named Entity Recognition and Swedish Language Models

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Anna Nyqvist; [2021]
    Keywords : labour market; named entity recognition; natural language processing; BERT; data annotation; inter-annotator agreement; arbetsmarknad; namngiven entitetsigenkänning; naturlig språkbehandling; BERT; dataannotering; interannoterar-överenskommelse;

    Abstract : Named entity recognition (NER) is a task that concerns detecting and categorising certain information in text. A promising approach for NER that recently has emerged is fine-tuning Transformer-based language models for this specific task. However, these models may require a relatively large quantity of labelled data to perform well. READ MORE

  4. 3. Automatic vs. Manual Data Labeling : A System Dynamics Modeling Approach

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Clas Blank; [2020]
    Keywords : System Dynamics; Modeling; Data Annotation; Data Labeling; Cost Comparison; Systemdynamik; Modellering; Dataannotation; Kostnadsjämförelse;

    Abstract : Labeled data, which is a collection of data samples that have been tagged with one or more labels, play an important role many software organizations in today's market. It can help in solving automation problems, training and validating machine learning models, or analysing data. READ MORE