Essays about: "Bildklassificering"

Showing result 21 - 25 of 49 essays containing the word Bildklassificering.

1. 21. One Stage Fine- Grained Classification

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

   Author : Xing Zeng; [2021]
   Keywords : Finegrained Visual Classification; YOLO; Onestage classifier; Localization.; Finkornad visuell klassificering; YOLO; klassificering i ett steg; lokalisering.;

   Abstract : Fine- grained Visual Classification (FGVC) is a rapidly growing field in image classification. However, it is a challenging task due to subcategories sharing subtle differences. READ MORE

3. 22. Deep Active Learning for Image Classification using Different Sampling Strategies

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

   Author : Shahin Saleh; [2021]
   Keywords : Convolutional Neural Network; Deep Active Learning; Deep Learning; Image Classification; Sampling Strategies; SemiSupervised Learning.; Bildklassificering; Faltningsnätverk; Deep Active Learning; Djupinlärning; Semiövervakat lärande; Urvalsstrategier.;

   Abstract : Convolutional Neural Networks (CNNs) have been proved to deliver great results in the area of computer vision, however, one fundamental bottleneck with CNNs is the fact that it is heavily dependant on the ground truth, that is, labeled training data. A labeled dataset is a group of samples that have been tagged with one or more labels. READ MORE

4. 23. A neural network performance analysis with three different model structures

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

   Author : Alejandro Gil Ferrer; [2021]
   Keywords : ;

   Abstract : This report analyzes three neural network structures: dense, convolutional and recurrent. One data set example and problem has been chosen for each type of structure: a multi-class classification problem, an image classifier and a time sequence prediction, respectively. READ MORE

5. 24. Exploring attribution methods explaining atrial fibrillation predictions from sinus ECGs : Attributions in Scale, Time and Frequency

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

   Author : Svante Sörberg; [2021]
   Keywords : Explainable Artificial Intelligence XAI ; Explainability; Paroxysmal Atrial Fibrillation; Feature Attribution; Förklaringsbar Artificiell Intelligens; Förklarbarhet; Paroxysmalt Förmaksflimmer; Särdragsattribution;

   Abstract : Deep Learning models are ubiquitous in machine learning. They offer state-of- the-art performance on tasks ranging from natural language processing to image classification. The drawback of these complex models is their black box nature. It is difficult for the end-user to understand how a model arrives at its prediction from the input. READ MORE

6. 25. Detecting illegal gold mining sites in the Amazon forest : Using Deep Learning to Classify Satellites Images

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

   Author : Nathan Labbe; [2021]
   Keywords : Deep Learning; Image Classification; Image Segmentation; Environmental Monitoring; Illegal Gold Mines Detection; Djupinlärning; bildklassificering; bildsegmentering; miljöövervakning; upptäckt av illegala guldgruvor;

   Abstract : Illegal gold mining in the Amazon forest has increased dramatically since 2005 with the rise in the price of gold. The use of chemicals such as mercury, which facilitate the gold extraction, increases the toxicity of the soil and can enter the food chain, leading to health problems for the inhabitants, and causes the environmental scourge we know today. READ MORE