Master's Thesis: Detection and Segmentation of Suggestive Clothing

Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1], classification and object detection models can be trained. However, there are also images that are obviously erotic or pornographic, but cannot be recognised by conventional methods. This applies, for example, to people in skin-tight latex or leather clothing. Existing approaches in the field of Human Parsing can already segment people and their clothing well. Additionally, datasets like Fashionpedia [2] exist, which include segmentation masks and labels for clothing items.



Objective: The aim of this master's thesis is to investigate whether and to what extent clothing items can be...