Essays about: "Faster R-CNN"
Showing result 6 - 10 of 44 essays containing the words Faster R-CNN.
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6. ERROR DETECTION IN PRODUCTION LINES VIA DEPENDABLE ARCHITECTURES IN CONVOLUTIONAL NEURAL NETWORKS
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The need for products has increased during the last few years, this high demand needs to bemet with higher means of production. The use of neural networks can be the key to increasedproduction without having to compromise product quality or human workers well being. READ MORE
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7. Benchmarking Object Detection Algorithms for Optical Character Recognition of Odometer Mileage
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Machine learning algorithms have had breakthroughs in many areas in the last decades. The hardest task, to solve with machine learning, was solving tasks that humans solve intuitively, e.g. understanding natural language or recognizing specific objects in images. READ MORE
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8. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE
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9. Content extraction from marketing flyers
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : Shops, supermarkets, and real estate dealers use marketing flyers in abundance to advertise the weekly and seasonal offers these days. The information available in such flyers is a good source marketing study. However, this information is not recorded in any central repository for future usage. READ MORE
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10. 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