Essays about: "image classifying CNN."

Showing result 1 - 5 of 28 essays containing the words image classifying CNN..

1. 1. Object Recognition in Satellite imagesusing improved ConvolutionalRecurrent Neural Network

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : TARUN NATTALA; [2023]
   Keywords : CRNN; CNN; RNN; Machine Learning and Satellite Image Recognition.;

   Abstract : 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

3. 2. Is eXplainable AI suitable as a hypotheses generating tool for medical research? Comparing basic pathology annotation with heat maps to find out

   University essay from Uppsala universitet/Statistiska institutionen

   Author : Albert Adlersson; [2023]
   Keywords : black box; eXplainable AI XAI ; Convolutional Neural Network CNN ; Mi- crosatellite Instability MSI ; colon cancer; gastric cancer; hypotheses generating; hypotheses generating tool; medical research;

   Abstract : Hypothesis testing has long been a formal and standardized process. Hypothesis generation, on the other hand, remains largely informal. This thesis assess whether eXplainable AI (XAI) can aid in the standardization of hypothesis generation through its utilization as a hypothesis generating tool for medical research. READ MORE

4. 3. GPS-Free UAV Geo-Localization Using a Reference 3D Database

   University essay from Linköpings universitet/Institutionen för systemteknik

   Author : Justus Karlsson; [2022]
   Keywords : Deep Learning; Machine Learning; ML; AI; UAV; GPS-Free; CNN; 3D CNN; GCNN; 3D Database; geolocalization; geo-localization; georegistration; Hidden Markov Model; HMM; satellite; satellite database; Batch-Hard; triplet loss; PyTorch Geometric;

   Abstract : The goal of this thesis has been global geolocalization using only visual input and a 3D database for reference. In recent years Convolutional Neural Networks (CNNs) have seen huge success in the task of classifying images. The flattened tensors at the final layers of a CNN can be viewed as vectors describing different input image features. READ MORE

5. 4. Classifying Electricity Tower Image Data with Unsupervised Curriculum Learning

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Jacob Wedin; [2022]
   Keywords : ;

   Abstract : The core objective of this thesis is to classify a set of aerial photographs into two categories, those containing an electricity tower and those not containing an electricity tower. While supervised deep learning methods can reach excellent results on such tasks, they require large amounts of labeled data. READ MORE

6. 5. Detecting Furniture in Images Based on Neural Network Models

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Jiayan Yang; [2022]
   Keywords : ;

   Abstract : Object detection is a challenging task that locates objects within an image or video and thenallows us to count and then track those objects. It is applied in a variety of ways, such as crowd counting, self-driving vehicles, video surveillance, face identification, and anomaly detection, and is utilized in a wide range of industries, including retail, sport, healthcare, marketing, interior design, agriculture, construction, and recreation. READ MORE