Sökning: "YOLOV5"

Visar resultat 1 - 5 av 26 uppsatser innehållade ordet YOLOV5.

  1. 1. Real time Optical  Character Recognition  in  steel  bars  using YOLOV5

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Monica Gattupalli; [2023]
    Nyckelord :Deep learning; Object detection; Tesseract OCR; YOLOV5; YOLOV5- obb;

    Sammanfattning : Background.Identifying the quality of the products in the manufacturing industry is a challenging task. Manufacturers use needles to print unique numbers on the products to differentiate between good and bad quality products. However, identi- fying these needle printed characters can be difficult. LÄS MER

  3. 2. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

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

    Författare :Qian Zhou; [2023]
    Nyckelord :Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

    Sammanfattning : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. LÄS MER

  4. 3. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Nyckelord :Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Sammanfattning : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. LÄS MER

  5. 4. The Impact of Image Resolution on Lesion Detection in CT scans Using Machine Learning

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

    Författare :William Koivula; Tomi Toma; [2023]
    Nyckelord :;

    Sammanfattning : Identifying cancer and other diseases that cause lesions (damages or abnormalities to tissue) early is crucial to assure the best treatment. However, lesions are often missed which can cause diseases to progress to an advanced-stage of the diseases which is harder to cure. LÄS MER

  7. 5. Edge Machine Learning for Wildlife Conservation : A part of the Ngulia project

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Richard Gotthard; Marcus Broström; [2023]
    Nyckelord :Edge Machine Learning; Object Detection; Classification; Wildlife Conservation;

    Sammanfattning : The prominence of Edge Machine Learning is increasing swiftly as the performance of microcontrollers continues to improve. By deploying object detection and classification models on edge devices with camera sensors, it becomes possible to locate and identify objects in their vicinity. LÄS MER