Essays about: "Data Augmentation"

Showing result 1 - 5 of 99 essays containing the words Data Augmentation.

  1. 1. Ocean Exploration with Artificial Intelligence

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Sarah Al-Khateeb; Lisa Bodlak; [2021-07-06]
    Keywords : computer science; deep learning; generative adversarial networks; data augmentation; object detection; underwater image; computer vision;

    Abstract : Large and diverse data is crucial to train object detection systems properly andachieve satisfactory prediction performance. However, in some areas, such as ma rine science, gathering sufficient data is challenging and sometimes even infeasible.Working with limited data can result in overfitting and poor performance. READ MORE

  2. 2. Atmospheric Attenuation for Lidar Systems in Adverse Weather Conditions

    University essay from Umeå universitet/Institutionen för fysik

    Author : Johan Viklund; [2021]
    Keywords : Lidar; Lidar equation; Extinction coefficient; Signal attenuation;

    Abstract : In this study, the weather impact on lidar signals has been researched. A lidar system was placed with a target at approximately 90 m and has together with a weather station collected data for about a year before this study. READ MORE

  3. 3. Style Transfer Paraphrasing for Consistency Training in Sentiment Classification

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

    Author : Núria Casals; [2021]
    Keywords : Semi-Supervised Learning; Data Augmentation; Sentiment Classification; Neural Paraphrasing; Semi-övervakad inlärning; Data förändring; Sentimentklassificering; Neural parafrasering;

    Abstract : Text data is easy to retrieve but often expensive to classify, which is why labeled textual data is a resource often lacking in quantity. However, the use of labeled data is crucial in supervised tasks such as text classification, but semi-supervised learning algorithms have shown that the use of unlabeled data during training has the potential to improve model performance, even in comparison to a fully supervised setting. READ MORE

  4. 4. Deep Learning for Chromosome Segmentation with Uncertainty Estimation

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

    Author : Arvid Norström; [2021]
    Keywords : ;

    Abstract : Karyotyping, the process of pairing and ordering chromosomes, is an important tool for cytogenetic analysis to detect chromosome abnormalities. A trained specialist analyses the resulting image of the karyotyping, known as a karyogram, paying attention to the size, shape, and number of the chromosomes. READ MORE

  5. 5. Dataset Generation in a Simulated Environment Using Real Flight Data for Reliable Runway Detection Capabilities

    University essay from Mälardalens högskola/Akademin för innovation, design och teknik; Mälardalens högskola/Akademin för innovation, design och teknik

    Author : Emil Tagebrand; Emil Gustafsson Ek; [2021]
    Keywords : Neural Network; Convolutional Neural Network; CNN; Runway Detection; Landing Scenarios; Dataset Generation; Dataset; Dataset Augmentation; Object Detection; Aviation; ADS-B; Flight Data; Reliable Runway Detection; Simulated Environments; Automatic Annotation; Dataset Variation; Dataset Analysis;

    Abstract : Implementing object detection methods for runway detection during landing approaches is limited in the safety-critical aircraft domain. This limitation is due to the difficulty that comes with verification of the design and the ability to understand how the object detection behaves during operation. READ MORE