Essays about: "YOLO"

Showing result 1 - 5 of 10 essays containing the word YOLO.

  1. 1. 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

  3. 2. Real time object detection on a Raspberry Pi

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Adam Gunnarsson; [2019]
    Keywords : computer vision; object detection; Raspberry Pi;

    Abstract : With the recent advancement of deep learning, the performance of object detection techniques has greatly increased in both speed and accuracy. This has made it possible to run highly accurate object detection with real time speed on modern desktop computer systems. READ MORE

  4. 3. Real-time Detection and Tracking of Moving Objects Using Deep Learning and Multi-threaded Kalman Filtering : A joint solution of 3D object detection and tracking for Autonomous Driving

    University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

    Author : Henrik Söderlund; [2019]
    Keywords : Master Thesis; Engineering; Autonomous Driving; Object Detection; Object Tracking; Deep Learning; Kalman Filter; Computer Vision; LiDAR;

    Abstract : Perception for autonomous drive systems is the most essential function for safe and reliable driving. LiDAR sensors can be used for perception and are vying for being crowned as an essential element in this task. READ MORE

  5. 4. Object Detection in Domain Specific Stereo-Analysed Satellite Images

    University essay from Linköpings universitet/Datorseende; Linköpings universitet/Datorseende

    Author : Fredrik Grahn; Kristian Nilsson; [2019]
    Keywords : object detection; object classification; clustering; hierarchical clustering; object localisation; machine learning; ai; image localisation; image segmentation; semantic segmentation; remote sensing images; satellite images; domain knowledge; support vector machines; svm; convolutional neural network; cnn; fully convolutional network; fcn; region-based convolutional neural network; you only look once; yolo; network fusion;

    Abstract : Given satellite images with accompanying pixel classifications and elevation data, we propose different solutions to object detection. The first method uses hierarchical clustering for segmentation and then employs different methods of classification. READ MORE

  6. 5. Investigating techniques for improving accuracy and limiting overfitting for YOLO and real-time object detection on iOS

    University essay from Malmö universitet/Teknik och samhälle

    Author : Jakup Güven; [2019]
    Keywords : YOLO; object detection; overfitting; dataset composition; hyperparameter optimisation; transfer learning; iOS; real-time; improving accuracy;

    Abstract : I detta arbete genomförs utvecklingen av ett realtids objektdetekteringssystem för iOS. För detta ändamål används YOLO, en ett-stegs objektdetekterare och ett s.k. ihoplänkat neuralt nätverk vilket åstadkommer betydligt bättre prestanda än övriga realtidsdetek- terare i termer av hastighet och precision. READ MORE