Sökning: "Inception V3"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Inception V3.

  1. 1. 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

  3. 2. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets

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

    Författare :Abdi Gobena; [2023]
    Nyckelord :Machine learning; Neural networks; Skin cancer; PAD-UFES-20; ISIC; Maskininlärning; Neuronnätverk; Hudcancer; PAD-UFES-20; ISIC;

    Sammanfattning : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. LÄS MER

  4. 3. Vitiligo image classification using pre-trained Convolutional Neural Network Architectures, and its economic impact on health care

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Nour Bashar; MRami Alsaid Suliman; [2022]
    Nyckelord :Vitiligo; deep CNN architectures; Image classification; pre-trained models; dataset; AUC; economic impact.; Vitiligo; djupa CNN-arkitekturer; bildklassificering; förtränade modeller; dataset; AUC; ekonomisk påverkan.;

    Sammanfattning : Vitiligo is a skin disease where the pigment cells that produce melanin die or stop functioning, which causes white patches to appear on the body. Although vitiligo is not considered a serious disease, there is a risk that something is wrong with a person's immune system. LÄS MER

  5. 4. Engagement Recognition in an E-learning Environment Using Convolutional Neural Network

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Zeting Jiang; Kaicheng Zhu; [2021]
    Nyckelord :Object recognition; Deep Learning; Distance learning;

    Sammanfattning : Background. Under the current situation, distance education has rapidly become popular among students and teachers. This educational situation has changed the traditional way of teaching in the classroom. Under this kind of circumstance, students will be required to learn independently. LÄS MER

  7. 5. Identifying Chaos in Skin Lesions Using Deep Learning : A potential examination tool for dermatologists

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Marcus Odlander; [2021]
    Nyckelord :;

    Sammanfattning : This thesis investigated whether a deep learning model could learn features of Chaos,from the Chaos & Clues evaluation protocol, in a given dermatoscopic image data set. Asuccessful result could be of use in a future decision-support system for when dermatologists examine skin lesions for traces of melanoma (type of skin cancer). LÄS MER