Sökning: "DeepLab"

Hittade 5 uppsatser innehållade ordet DeepLab.

1. 1. Automating Feature-Extraction for Camera Calibration Through Machine Learning and Computer Vision

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Elias Åkeborg; [2021]
   Nyckelord :Machine learning; Computer vision; Feature-extraction; Classification; Camera Calibration; DeepLab; U-Net; Ridge Detection; Sub-pixel optimization; Artificial Intelligence; Technology and Engineering;

   Sammanfattning : Machine learning as a field has expanded in an explosive manner, with more companies interested in using the technology. One of these companies, Spiideo, uses Machine learning to automatically stream and record sports, highlighting key events - all automatically without a cameraman. LÄS MER

3. 2. Targeting the zebrafish eye using deep learning-based image segmentation

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Joakim Holmberg; [2020]
   Nyckelord :;

   Sammanfattning : Researchers studying cardiovascular and metabolic disease in humans commonly usecomputer vision techniques to segment internal structures of the zebrafish animalmodel. However, there are no current image segmentation methods to target theeyes of the zebrafish. LÄS MER

4. 3. Semantic Segmentation of Iron Pellets as a Cloud Service

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Rosenvall Christopher; [2020]
   Nyckelord :AWS; Amazon Web Services; Iron Pellets; Iron Ore; Iron Ore Pellets; Cloud; Cloud Service; Semantic Segmentation; Machine Learning; SageMaker; Neural Networks; FCN; PSP; DeepLab;

   Sammanfattning : This master’s thesis evaluates automatic data annotation and machine learning predictions of iron ore pellets using tools provided by Amazon Web Services (AWS) in the cloud. The main tool in focus is Amazon SageMaker which is capable of automatic data annotation as well as building, training and deploying machine learning models quickly. LÄS MER

5. 4. Memory Efficient Semantic Segmentation for Embedded Systems

   Master-uppsats, Lunds universitet/Institutionen för datavetenskap

   Författare :Haochen Liu; Erik Olsson; [2019]
   Nyckelord :Neural networks; Semantic segmentation; Pruning; Quantization; Tiling; Memory allocation; DeepLab; MobileNet; Technology and Engineering;

   Sammanfattning : Convolutional neural networks (CNNs) have made rapid progress in the last years and in fields, such as computer vision, they are considered state-of-the-art. However, CNNs are very computationally intensive. This makes them challenging to use in embedded devices such as smartphones, security cameras and cars. LÄS MER

7. 5. Towards color compatibility in fashion using machine learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xinhui Wang; [2019]
   Nyckelord :;

   Sammanfattning : Fashion analyses, such as predicting trends and fashion recommendation, have been a hot topic. Color, as one of the dominant features of clothing, has great influence on people’s shopping behaviors. Understanding popular colors and color combinations are of high business value. LÄS MER