Essays about: "object classification"
Showing result 1 - 5 of 199 essays containing the words object classification.
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1. Visualization and analysis of object states using diffusion models and PyTorch
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE
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2. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background:The background of this research lies in detecting the images from satellites. The recognition of images from satellites has become increasingly importantdue to the vast amount of data that can be obtained from satellites. This thesisaims to develop a method for the recognition of images from satellites using machinelearning techniques. READ MORE
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3. Categorization of Historical Photographs using Convolutional Neural Networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The goal of this project is to explore the possibilities of using Convolutional Neural Networks (CNN) on historical photographs taken in Sweden to determine a feasible way of automatically detecting the studio that the photograph was taken in. Photographs supplied by The City Faces Project were used for this purpose. READ MORE
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4. Evaluating the Viability of Synthetic Pre-training Data for Face Recognition Using a CNN-Based Multiclass Classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Today, face recognition is becoming increasingly accurate and faster with deep learning methods such as convolutional neural networks (CNNs), and is now widely used in areas such as security and entertainment. Typically, these CNNs are trained using real-face datasets like CASIA-WebFace, which was put together using web-crawling of IMDB. READ MORE
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5. 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)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