Essays about: "Synthetic Data Generation"
Showing result 11 - 15 of 82 essays containing the words Synthetic Data Generation.
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11. Sim2Real: Generating synthetic images from industry CAD models with domain randomization
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. READ MORE
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12. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. READ MORE
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13. Parameter Estimation and Simulation of Driving Datasets
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : The development of autonomous driving in recent years has been in full swing and one of the aspects that Autonomous Vehicles (AVs) should always focus on is safety. Although the corresponding technology has gradually matured, and AVs have performed well in a large number of tests, people are still uncertain whether AVs can cope with all possible situations. READ MORE
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14. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. READ MORE
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15. 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
