Essays about: "Faster RCNN"

Showing result 1 - 5 of 10 essays containing the words Faster 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. 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

4. 3. Comparison Of Object Detection Models - to detect recycle logos on tetra packs

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Sree Chandan Kamireddi; [2022]
   Keywords : Object Detection; Deep Learning; Convolutional Neural Networks.;

   Abstract : Background: Manufacturing and production of daily used products using recyclable materials took a steep incline over the past few years. The recyclable packages that are being considered for this thesis are Tetra Packs. Tetra packs are widely used for packaging liquid foods. READ MORE

5. 4. Scar detection using deep neural networks

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

   Author : Christina Sunnegårdh; [2021]
   Keywords : ;

   Abstract : Object detection is a computer vision method that deals with the tasks of localizing and classifying objects within an image. The number of usages for the method is constantly growing, and this thesis investigates the unexplored area of using deep neural networks for scar detection. READ MORE

6. 5. Incorporating Metadata Into the Active Learning Cycle for 2D Object Detection

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

   Author : Karsten Stadler; [2021]
   Keywords : Active learning; Deep Learning; Object detection; Metadata; Nuscenes Nuimages; Gaussian mixture model; Rejection sampling; Monte-Carlo methods; Aktiv Inlärning; Djupinlärning; Objektdetektering; metadata; Nuscenes Nuimages; Gaussisk blandingsmodell; Rejection sampling; Monte-Carlo metoder;

   Abstract : In the past years, Deep Convolutional Neural Networks have proven to be very useful for 2D Object Detection in many applications. These types of networks require large amounts of labeled data, which can be increasingly costly for companies deploying these detectors in practice if the data quality is lacking. READ MORE