Essays about: "image recognition"
Showing result 16 - 20 of 407 essays containing the words image recognition.
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16. Finding license-plates in varying lighting conditions using two machine learning methods
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Object detection and machine learning are important fields in Computer science. This report presents two methods to find the bounding box of a license plate and tries to evaluate the best approach to deal with various lighting conditions. READ MORE
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17. Sound Source Distance Estimation Using Sound Frequency Attenuation
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Estimating the distance between a sound source and receiver is an important problem. This thesis explores the possibility of estimating distance from a sound source using the attenuations regarding different frequencies over a distance. This method can be useful in cases where currently existing distance approxima- tion methods are not an option. READ MORE
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18. Evaluating Methods for Image Segmentation
University essay from Uppsala universitet/Matematiska institutionenAbstract : This work implements and evaluates different methods of image analysis and manipulation for the purposesof object recognition. It lays the groundwork for possible future projects that could use machine learning onthe output for the purposes of analyzing the behaviour of lab mice. READ MORE
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19. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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20. GAN-Based Counterfactual Explanation on Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE