Essays about: "YOLO"
Showing result 26 - 30 of 74 essays containing the word YOLO.
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26. Object and Anomaly Detection
University essay from Örebro universitet/Institutionen för naturvetenskap och teknikAbstract : This project aims to contribute to the discussion regarding reproducibility of machinelearning research. This is done through utilizing the methods specified in the report ImprovingReproducibility in Machine Learning Research [30] to select an appropriateobject detection machine learning research paper for reproduction. READ MORE
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27. 6G RF Waveform with AI for Human Presence Detection in Indoor Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Wireless communication equipment is widely available and the number of transmitters and receivers keeps increasing. In addition to communications, wireless nodes can be used for sensing. READ MORE
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28. How Safe Is Machine Vision? : An Evaluation of the AMLAS Process in a Machine Vision Environment
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : This thesis evaluates the AMLAS methodology. To support the evaluation, literature studies are conducted and a machine learning dependent system that detects people and helmets is implemented. The practical work is performed according to the documentation of AMLAS. Alongside this work, a user interface is developed. READ MORE
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29. Radar Detection Using Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : This thesis aims to reproduce and improve a paper about dynamic road user detection on 2D bird's-eye-view radar point cloud in the context of autonomous driving. We choose RadarScenes, a recent large public dataset, to train and test deep neural networks. READ MORE
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30. DRIVING-SCENE IMAGE CLASSIFICATION USING DEEP LEARNING NETWORKS: YOLOV4 ALGORITHM
University essay from Uppsala universitet/Statistiska institutionenAbstract : The objective of the thesis is to explore an approach of classifying and localizing different objects from driving-scene images using YOLOv4 algorithm trained on custom dataset. YOLOv4, a one-stage object detection algorithm, aims to have better accuracy and speed. READ MORE