Essays about: "synthetic image data"
Showing result 16 - 20 of 133 essays containing the words synthetic image data.
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16. Generating Synthetic Training Data with Stable Diffusion
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The usage of image classification in various industries has grown significantly in recentyears. There are however challenges concerning the data used to train such models. Inmany cases the data used in training is often difficult and expensive to obtain. Furthermore,dealing with image data may come with additional problems such as privacy concerns. READ MORE
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17. Segmentation of x-ray images using deep learning trained on synthetic data
University essay from KTH/FysikAbstract : Radiograph examinations play a critical role in various applications such as the detection of bone pathologies and lung cancer, despite the challenge of false negatives. The integration of Artificial Intelligence (AI) holds promise in enhancing image quality and assisting radiologists in their diagnostic processes. READ MORE
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18. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. READ MORE
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19. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. READ MORE
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20. Processing of ERT data from Stabilised Columns
University essay from Lunds universitet/Teknisk geologi; Lunds universitet/Väg- och vattenbyggnad (CI)Abstract : Modern construction sites are associated with high demands on suitable soil conditions, resulting in geotechnical challenges that can be solved using soil stabilisation techniques. The reliability of these techniques is tested using different quality assurance methods. READ MORE