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README.md

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 During the last few years, the production of digital content has been continuously increasing. Digital cameras have been integrated to computers, mobile phones and tablets and have become interdependent to many daily activities. As a result, the research fields of  digital image processing and computer vision have benefited from content availability and many new research topics have arisen. The goal of this thesis is to tackle the problem of building recognition, i.e., given a query image of a specific building, to retrieve images of the same building within a database. To this goal, we choose to follow a traditional approach of content-based image retrieval.
 
-### Msc Thesis - Photography Style Analysis using ML
+### Msc Thesis - Photography Style Analysis using Machine Learning
 
-This thesis aims to recognize and quantify image aesthetics in a certain photography style (bokeh) which is characterized from the level in depth of field. The problem is treated as a task related to image aesthetics quality assessment. In addition we suggest a method to improve active learning strategies for any image classification task using deep active learning with custom and pre-trained CNN model architectures.
+This thesis aims to recognize and quantify image aesthetics in a certain photography style (bokeh) which is characterized from the level in depth of field.The problem is treated as a task related to image aesthetics quality assessment. In addition we suggest a method to improve active learning strategies for any image classification task using deep active learning with custom and pre-trained CNN model architectures.