Essays about: "Single-Shot Detector"
Showing result 1 - 5 of 16 essays containing the words Single-Shot Detector.
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1. A Comparative study of YOLO and Haar Cascade algorithm for helmet and license plate detection of motorcycles
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Every country has seen an increase in motorcycle accidents over the years due to social and economic differences as well as regional variations in transportation circumstances. One common mode of transportation for those in the middle class is a motorbike. Every motorbike rider is legally required to wear a helmet when driving a bike. READ MORE
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2. Pruning a Single-Shot Detector for Faster Inference : A Comparison of Two Pruning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern state-of-the-art object detection models are based on convolutional neural networks and can be divided into single-shot detectors and two-stage detectors. Two-stage detectors exhibit impressive detection performance but their complex pipelines make them slow. READ MORE
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3. Automatic Detection of Rouleau Formations Using Image Processing and Deep Learning
University essay from Lunds universitet/Matematik LTHAbstract : Analysis of peripheral blood smears is commonly used to aid physicians in diagnosing diseases, checking for infections and evaluating the function of organs. One object of interest in such analysis is the presence of red blood cell aggregates called rouleaux. READ MORE
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4. Air Reconnaissance Analysis using Convolutional Neural Network-based Object Detection
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : The Swedish armed forces use the Single Source Intelligent Cell (SSIC), developed by Saab, for analysis of aerial reconnaissance video and report generation. The analysis can be time-consuming and demanding for a human operator. In the analysis workflow, identifying vehicles is an important part of the work. READ MORE
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5. Raspberry Pi Based Vision System for Foreign Object Debris (FOD) Detection
University essay from Blekinge Tekniska HögskolaAbstract : Background: The main purpose of this research is to design and develop a cost-effective system for detection of Foreign Object Debris (FOD), dedicated to airports. FOD detection has been a significant problem at airports as it can cause damage to aircraft. READ MORE