Essays about: "detektering av flera objekt"
Showing result 1 - 5 of 11 essays containing the words detektering av flera objekt.
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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)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
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2. Artificial data for Image classification in industrial applications
University essay fromAbstract : 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
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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)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
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4. Semi-Supervised Training with One-stage Object Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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5. Scar detection using deep neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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