Sökning: "Faster R-CNN"

Visar resultat 1 - 5 av 45 uppsatser innehållade orden Faster R-CNN.

1. 1. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Vivian Wang; Lidia Yalew; [2023-10-19]
   Nyckelord :Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

   Sammanfattning : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. LÄS MER

3. 2. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Serhat Bulun; [2023]
   Nyckelord :;

   Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER

4. 3. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Vikash Lal Dodani; [2023]
   Nyckelord :Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

   Sammanfattning : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. LÄS MER

5. 4. A Comparison of Advanced DeepLearning Algorithms for Multi-digit Detection in Historical Documents

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Manaswini Chethireddy; Sai Teja Palla; [2023]
   Nyckelord :Deep Learning Methods; Handwritten digits; Digit Detection; Image processing on document images; YOLOV5; Faster R-CNN; RetinaNet; YOLOV7;

   Sammanfattning : Background: Historical handwritten documents are assets for future generations and should be appropriately secured, so handwritten digit detection plays an important role to preserve them. Handwritten digit detection is a fundamental problem and has been studied extensively for many years. LÄS MER

7. 5. Real Time Vehicle Detection for Intelligent Transportation Systems

   Magister-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Elda Shurdhaj; Ulehla Christián; [2023]
   Nyckelord :Unmanned aerial vehicles UAVs ; vehicle detection; CNN architecture; snow cover; NVD; Yolov5s; Yolov8s; Faster R-CNN; real-time processing; edge devices;

   Sammanfattning : This thesis aims to analyze how object detectors perform under winter weather conditions, specifically in areas with varying degrees of snow cover. The investigation will evaluate the effectiveness of commonly used object detection methods in identifying vehicles in snowy environments, including YOLO v8, Yolo v5, and Faster R-CNN. LÄS MER