Sökning: "mean average precision"

Visar resultat 1 - 5 av 86 uppsatser innehållade orden mean average precision.

1. 1. Robust Object Recognition and Tracking with Drones

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Jiaying Wu; [2024]
   Nyckelord :;

   Sammanfattning : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. LÄS MER

3. 2. Data Augmentation for Object Detection using Deep Reinforcement Learning

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Axel Andersson; Nils Hallerfelt; [2024]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. LÄS MER

4. 3. 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

5. 4. The influence of data annotation process requirements on performance criteria of ML models

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

   Författare :Maab Mohammedali; Muntasir Adam; [2023-08-03]
   Nyckelord :;

   Sammanfattning : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. LÄS MER

7. 5. IDENTIFICATION OF ENVIRONMENTALLY RELEVANT BENTHIC FORAMINIFERA FROM THE SKAGERRAK FJORDS BY DEEP LEARNING IMAGE MODELING

   Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap

   Författare :Marko Plavetic; [2023-06-26]
   Nyckelord :benthic foraminifera; deep learning; environmental monitoring; YOLOv7;

   Sammanfattning : Over the several past decades, there has been increasing interest in using foraminifera as environmental indicators for coastal marine environments. As compared to macrofauna, which are currently used in environmental studies, foraminifera offer several distinct advantages as bioindicators, including short generation times, a high number of individuals per small sample volume, hard and durable tests with high preservation potential, and low cost of sample extraction. LÄS MER