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Showing result 1 - 5 of 11 essays matching the above criteria.

1. 1. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory

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

   Author : Laura Murphy; [2023]
   Keywords : Near-Earth Object Detection; Machine Learning; Deep Learning; Visual Transformers;

   Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE

3. 2. Artificial data for Image classification in industrial applications

   University essay from

   Author : Yonan Yonan; August Baaz; [2022]
   Keywords : Synthetic data; artificial data; object detection; image classification; artificial intelligence; machine learning; neural networks; convolutional neural networks; ResNet; ResNet50;

   Abstract : Machine learning and AI are growing rapidly and they are being implemented more often than before due to their high accuracy and performance. One of the biggest challenges to machine learning is data collection. The training data is the most important part of any machine learning project since it determines how the trained model will behave. READ MORE

4. 3. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Author : Jakob Melki; [2022]
   Keywords : Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Abstract : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. READ MORE

5. 4. Semi-Supervised Training with One-stage Object Detection

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

   Author : Nancy Xu; [2021]
   Keywords : ;

   Abstract : Training a specialized object detection model requires large amounts of labeled data that may not be easily obtainable. In contrast, large amounts of unlabeled data relevant to the task are often available. In this report a semi-supervised approach that increases the amount of training data by adding soft labels is examined. READ MORE

6. 5. Scar detection using deep neural networks

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

   Author : Christina Sunnegårdh; [2021]
   Keywords : ;

   Abstract : Object detection is a computer vision method that deals with the tasks of localizing and classifying objects within an image. The number of usages for the method is constantly growing, and this thesis investigates the unexplored area of using deep neural networks for scar detection. READ MORE