Sökning: "Object Classification"

Visar resultat 1 - 5 av 238 uppsatser innehållade orden Object Classification.

1. 1. Visualization and analysis of object states using diffusion models and PyTorch

   Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Christopher Nyberg; [2024]
   Nyckelord :;

   Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

3. 2. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

   Författare :Xinchen Wang; [2024]
   Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

4. 3. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :TARUN NATTALA; [2023]
   Nyckelord :CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

   Sammanfattning : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. LÄS MER

5. 4. Regleringen av digitala avtalsobjekt i konsumentköplagen : Med fokus på tillhandahållanden av digitalt innehåll och digitala tjänster

   Uppsats för yrkesexamina på avancerad nivå, Stockholms universitet/Juridiska institutionen

   Författare :Ejah Martinsson; [2023]
   Nyckelord :Consumer Services Act; DSM-strategy; digital content; digital services; supplied on tangible medium; goods with digital elements.; Konsumentskydd; konsumentköplag; digitala avtalsobjekt; digitaldirektivet; DSM-strategin; digitalt innehåll; digitala tjänster.;

   Sammanfattning : This thesis describes the new regulation of digital products in the Consumer Services Act (2022:260). The essay focuses specifically on the supply of digital content and digital services which derive from an EU-directive 2019/770 (henceforth The Digital Content Directive). LÄS MER

7. 5. Categorization of Historical Photographs using Convolutional Neural Networks

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Aron Freyr Heiðarsson; [2023]
   Nyckelord :;

   Sammanfattning : The goal of this project is to explore the possibilities of using Convolutional Neural Networks (CNN) on historical photographs taken in Sweden to determine a feasible way of automatically detecting the studio that the photograph was taken in. Photographs supplied by The City Faces Project were used for this purpose. LÄS MER