Essays about: "Tekniker för Dataaugmentering"

Found 4 essays containing the words Tekniker för Dataaugmentering.

1. 1. Uncertainty Estimation in Volumetric Image Segmentation

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

   Author : Donggyun Park; [2023]
   Keywords : Uncertainty Estimation; Uncertainty Quantification UQ ; Volumetric Image Segmentation; 3D U-Net; test-time data augmentation; Deep ensemble;

   Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE

3. 2. Can Large Language Models Enhance Fake News Detection? : Improving Fake News Detection With Data Augmentation

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

   Author : Emil Ahlbäck; Max Dougly; [2023]
   Keywords : ;

   Abstract : In recent years, the proliferation of fake news has become a significant concern due to its potential to cause harm and sow discord in societies worldwide. To address this issue, machine learning techniques have been employed in a task referred to as fake news detection (FND) to assess the veracity of textual news content. READ MORE

4. 3. AI-based Quality Inspection forShort-Series Production : Using synthetic dataset to perform instance segmentation forquality inspection

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Simon Tsehaie Russom; [2022]
   Keywords : Synthetic Training Dataset; Geometrical Defect Detection; Instance Segmentation; Data Augmentation Techniques; Mask R-CNN; Transformers; Syntetisk Träningsdataset; Detektion av Geometriska Defekter; Instanssegmentering; Tekniker för Dataaugmentering; Mask R-CNN; Transformers;

   Abstract : Quality inspection is an essential part of almost any industrial production line. However, designing customized solutions for defect detection for every product can be costlyfor the production line. This is especially the case for short-series production, where theproduction time is limited. READ MORE

5. 4. Character Recognition in Natural Images Utilising TensorFlow

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Alexander Viklund; Emma Nimstad; [2017]
   Keywords : character recognition; natural images; TensorFlow; data augmentation; neural networks; Chars74K; convolutional; teckenigenkänning; naturliga bilder; TensorFlow; dataaugmentering; neurala nätverk; neuronnät; Chars74K;

   Abstract : Convolutional Neural Networks (CNNs) are commonly used for character recognition. They achieve the lowest error rates for popular datasets such as SVHN and MNIST. Usage of CNN is lacking in research about character classification in natural images regarding the whole English alphabet. READ MORE