Essays about: "Data Annotation"
Showing result 1 - 5 of 121 essays containing the words Data Annotation.
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1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
University essay fromAbstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE
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2. Key Sentence Extraction From CRISPR-Cas9 Articles Using Sentence Transformers
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The annotation of CRISPR-related articles and extraction of key content has traditionally relied on manual efforts. Manual annotation is error-prone and timeconsuming. This thesis presents an alternative approach using transfer learning and pre-trained models based on the Transformer architecture. READ MORE
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3. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. READ MORE
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4. Automatic Semantic Role Labelling (SRL) in Swedish
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this paper, using deep learning networks, the first end-to-end semantic role labelling model (SRL) has been developed for Swedish texts. This Swedish SRL model can, with a given Swedish sentence, perform trigger identification, frame classification and argument extraction tasks automatically in a series. READ MORE
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5. The influence of data annotation process requirements on performance criteria of ML models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. READ MORE