Essays about: "Datorseende"

Showing result 1 - 5 of 289 essays containing the word Datorseende.

  1. 1. Automatic Quality Assessment of Dermatology Images : A Comparison Between Machine Learning and Hand-Crafted Algorithms

    University essay from Linköpings universitet/Datorseende

    Author : Hasseli Zahra; Anwia Odisho Raamen; [2022]
    Keywords : ;

    Abstract : In recent years, pictures from handheld devices such as smartphones have been increasingly utilized as a documentation tool by medical practitioners not trained to take professional photographs. Similarly to the other types of image modalities, the images should be taken in a way to capture the vital information in the region of interest. READ MORE

  2. 2. Semi-Supervised Plant Leaf Detection and Stress Recognition

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Márk Antal Csizmadia; [2022]
    Keywords : Deep Learning; Object Detection; Semi-Supervised Learning; Semi-Supervised Object Detection; Computer Vision; Djupinlärning; Objektdetektering; Semi-övervakad inlärning; Semi-övervakad objektdetektering; datorseende;

    Abstract : One of the main limitations of training deep learning-based object detection models is the availability of large amounts of data annotations. When annotations are scarce, semi-supervised learning provides frameworks to improve object detection performance by utilising unlabelled data. READ MORE

  3. 3. Object Detection via Contextual Information

    University essay from Linköpings universitet/Institutionen för systemteknik

    Author : Lovisa Stålebrink; [2022]
    Keywords : computer vision; machine learning; object detection; deep learning; contextual information; transformers; document object detection; datorseende; maskininlärning; objektdetektion; djupinlärning; kontextuell information; transformer; detektering av dokumentobjekt;

    Abstract : Using computer vision to automatically process and understand images is becoming increasingly popular. One frequently used technique in this area is object detection, where the goal is to both localize and classify objects in images. Today's detection models are accurate, but there is still room for improvement. READ MORE

  4. 4. Jämförelse mellan hältbedömning av häst utförd av 12 klinikveterinärer och en applikation baserad på datorseende

    University essay from SLU/Dept. of Anatomy, Physiology and Biochemistry

    Author : Julia Johanna Stenius; [2022]
    Keywords : hälta; rörelseanalys; rörelseasymmetri; hältbedömning; objektiv rörelseanalys; artificiell intelligens; datorseende; neurala nätverk; överensstämmelse;

    Abstract : Ortopediska sjukdomar är hästens största medicinska problem världen över och sjukdomar i rörelseapparaten är den vanligaste anledningen till att svenska hästar behandlas av en veterinär. För framgångsrik behandling av ortopediska problem krävs i första hand en korrekt identifiering av det halta benet. READ MORE

  5. 5. Hybrid Deep Learning Model for Cellular Network Traffic Prediction : Case Study using Telecom Time Series Data, Satellite Imagery, and Weather Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ali Shibli; [2022]
    Keywords : Cellular network traffic; multi-modal; satellite imagery; weather data; LSTM; CNN; time series; Trafic sur les réseaux cellulaires; multimodal; imagerie satellite; données météo; LSTM; CNN; séries temporelles; Förutsägelse av mobilnätstrafik; multimodal modell; satellitbilder; väderdata; LSTM; CNN; tidsseriein;

    Abstract : Cellular network traffic prediction is a critical challenge for communication providers, which is important for use cases such as traffic steering and base station resources management. Traditional prediction methods mostly rely on historical time-series data to predict traffic load, which often fail to model the real world and capture surrounding environment conditions. READ MORE