Essays about: "rcnn"

Showing result 1 - 5 of 21 essays containing the word rcnn.

  1. 1. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

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

    Author : Vikash Lal Dodani; [2023]
    Keywords : Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

    Abstract : 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. READ MORE

  3. 2. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Surya S V A S Sudheer Vadrevu; [2023]
    Keywords : Machine Learning; Image Processing; Disease Diagnosis; robustnessand reliability; SegFormer; Mask RCNN; YOLO v8;

    Abstract : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. READ MORE

  4. 3. Recognition of Handwritten Swedish Sentences With Deep Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Hussain Kara Fallah; [2023]
    Keywords : ;

    Abstract : This study attempts the task of handwritten text recognition within the context of the Swedish language. It examines the applicability of deep neural networks to comprehend handwritten Swedish texts, specifically leveraging the Labors Memory Dataset. READ MORE

  5. 4. Instance Segmentation on depth images using Swin Transformer for improved accuracy on indoor images

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Alfred Hagberg; Mustaf Abdullahi Musse; [2022]
    Keywords : Instance Segmentation; segmentation; deep learning; semantic segmentation; swin transformer; mask rcnn; rcnn; cascade mask rcnn; slam; simultaneous localization and mapping; object detection; COCO; NYU dataset; vision transformer;

    Abstract : The Simultaneous Localisation And Mapping (SLAM) problem is an open fundamental problem in autonomous mobile robotics. One of the latest most researched techniques used to enhance the SLAM methods is instance segmentation. READ MORE

  6. 5. Dataset quality assessment through camera analysis : Predicting deviations in plant production

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

    Author : Aravind Sadashiv; [2022]
    Keywords : Deep Learning; Faster RCNN; SI-NDVI; Thermal Imaging; Stress detection;

    Abstract : Different type of images provided by various combinations of cameras have the power to help increase and optimize plant growth. Along with a powerful deep learning model, for the purpose of detecting these stress indicators in RGB images, can significantly increase the harvest yield. READ MORE