Sökning: "general object detection"

Visar resultat 1 - 5 av 33 uppsatser innehållade orden general object detection.

  1. 1. 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

  2. 2. 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

  3. 3. Efficient Traffic Monitoring in IoT Networks for Attack Detection at the Edge

    Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Engla Jansson; [2023]
    Nyckelord :;

    Sammanfattning : The Internet of Things has rapidly expanded over the years, and with this comes significant security risks, with attacks increasing at an alarming rate. A way to detect attacks in the network is by having each device send traffic monitoring information to an edge device that can investigate if any devices have been exploited. LÄS MER

  4. 4. Automatic Calibration of Camera Parameters : A Steppingstone to Analysing Videos

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Wilma Hallén; [2022]
    Nyckelord :Smartphone; Video stabilisation; Calibration;

    Sammanfattning : The smartphone is commonly used for image and video capture. Due to the lightweight of the smartphone, small handshakes are noticeable in recorded videos. The image sensors in smartphones are typically CMOS, which introduces rolling shutter artefacts. Stabilisation is introduced to minimise the effects of the camera movement and artefacts. LÄS MER

  5. 5. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN

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

    Författare :Mikaela Funkquist; [2022]
    Nyckelord :Document Layout Analysis; Newspapers; Object Detection; Faster R-CNN; Deep Learning; Dokument Layout Analys; Tidningar; Objektdetektering; Faster R-CNN; Djupinlärning;

    Sammanfattning : 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. LÄS MER