Essays about: "Datorseende"

Showing result 21 - 25 of 407 essays containing the word Datorseende.

1. 21. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

   University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

   Author : Punnawat Siripatthiti; [2023]
   Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

   Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

3. 22. Anomaly Detection with Machine Learning using CLIP in a Video Surveillance Context

   University essay from Linköpings universitet/Datorseende

   Author : Christoffer Gärdin; [2023]
   Keywords : Datorseende; maskininlärning; CLIP; anomalidetektion; videoövervakning;

   Abstract : This thesis explores the application of Contrastive Language-Image Pre-Training (CLIP), a vision-language model, in an automated video surveillance system for anomaly detection. The ability of CLIP to perform zero-shot learning, coupled with its robustness against minor image alterations due to its lack of reliance on pixel-level image analysis, makes it a suitable candidate for this application. READ MORE

4. 23. Generation of Synthetic Traffic Sign Images using Diffusion Models

   University essay from Linköpings universitet/Datorseende

   Author : Johanna Carlson; Lovisa Byman; [2023]
   Keywords : Machine Learning; Computer Vision; Diffusion Models; Traffic Sign Recognition; Traffic Sign Classification; Synthetic Data; Maskininlärning; Datorseende; Diffusionsmodeller; Trafikskyltsigenkänning; Trafikskyltsklassificering; Syntetisk data;

   Abstract : In the area of Traffic Sign Recognition (TSR), deep learning models are trained to detect and classify images of traffic signs. The amount of data available to train these models is often limited, and collecting more data is time-consuming and expensive. READ MORE

5. 24. Automation of forest road inventory using computer vision and machine learning

   University essay from Umeå universitet/Institutionen för fysik

   Author : Jacques de Flon; [2023]
   Keywords : Computer vision; Machine Learning; Image recognition; forestry; road inventory; pothole; gravel road;

   Abstract : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. READ MORE

6. 25. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

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

   Author : Simon Ekman von Huth; [2023]
   Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

   Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE