Essays about: "YOLO"

Showing result 1 - 5 of 15 essays containing the word YOLO.

  1. 1. From Body Parts Responses to Underwater Human Detection: A Deep Learning Approach

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap; Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Wenjie Zhan; Maowei Zheng; [2020]
    Keywords : Deep learning; human body parts detection; underwater human detection;

    Abstract : Context. Underwater human detection has been an important problem in computer vision areas. Body part-based models could gain good performance in on-land human detection with occlusion existing scenarios. This thesis explores the feasibility of human body parts detection in underwater environment. READ MORE

  2. 2. Detecting Faulty Tape-around Weatherproofing Cables by Computer Vision

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

    Author : Ruiwen Sun; [2020]
    Keywords : Object Detection; Image Processing; OpenCV; YOLO; Line Segment Detector; Objektdetektion; Bildbehandling; OpenCV; YOLO; Linjesegmentdetektor;

    Abstract : More cables will be installed owing to setting up more radio towers when it comes to 5G. However, a large proportion of radio units are constructed high in the open space, which makes it difficult for human technicians to maintain the systems. Under these circumstances, automatic detections of errors among radio cabinets are crucial. READ MORE

  3. 3. AI-based Age Estimation using X-ray Hand Images : A comparison of Object Detection and Deep Learning models

    University essay from Blekinge Tekniska Högskola/Fakulteten för datavetenskaper

    Author : Erik Westerberg; [2020]
    Keywords : deep learning; object detection; bone age assessment;

    Abstract : Bone age assessment can be useful in a variety of ways. It can help pediatricians predict growth, puberty entrance, identify diseases, and assess if a person lacking proper identification is a minor or not. It is a time-consuming process that is also prone to intra-observer variation, which can cause problems in many ways. READ MORE

  4. 4. SEG-YOLO: Real-Time Instance Segmentation Using YOLOv3 and Fully Convolutional Network

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

    Author : Zhuoyue Wang; [2019]
    Keywords : ;

    Abstract : Computer vision technology has been widely applied to augment sports TV broadcast experience.  Some of these broadcasts require accurate fore- ground segmentation on the outdoor sports scene, i.e., segmentation of po- tential sports players and highlight them. READ MORE

  5. 5. Machine visual feedback through CNN detectors : Mobile object detection for industrial application

    University essay from Mittuniversitetet/Institutionen för elektronikkonstruktion

    Author : Kastriot Rexhaj; [2019]
    Keywords : Object detection; CNN; SSD; Faster R-CNN; YOLO; TensorFlow; ARM; Android; Deep learning; Machine vision.;

    Abstract : This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other personnel to more easily interact with their machines and equipment. New advancements in deep learning, specifically CNN models, have been exploring neural networks with detection-capabilities. READ MORE