Fraunhofer SIT · SIT - Secure Information Technology
Student / Thesis
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]…
🇩🇪 Darmstadt
No deadlineSource: Fraunhofer SIT