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FRFraunhofer-Gesellschaft

Master's Thesis: Detection and Segmentation of Suggestive Clothing(m/w/x)

Darmstadt
Full-timeInternshipOn-site

ML/NN model development for detecting suggestive clothing and distinguishing erotic/pornographic images at application-oriented research institute. Strong ML/NN knowledge and willingness to work with erotic/pornographic material required. Independent work schedule management.

Requirements

  • Good knowledge in machine learning and neural network training
  • Good Python skills, preferably PyTorch experience
  • Ideally, knowledge in computer vision and object detection/segmentation
  • Motivation for independent research into new topics
  • Willingness to work with erotic/pornographic material
  • Interest in scientific research

Tasks

  • Investigate suitable existing approaches
  • Describe gaps in existing datasets and models
  • Fill gaps with custom data and models
  • Evaluate methods for reliable erotic clothing detection
  • Evaluate methods to distinguish erotic/pornographic images
  • Evaluate counter classes (e.g., everyday, sports, beach)
  • Build annotated dataset for erotic clothing detection
  • Implement new approaches for erotic clothing detection/segmentation
  • Classify detected garments
  • Evaluate models for detection, segmentation, and classification
  • Generate annotations with pre-trained models like SAM 3
  • Train models (e.g., YOLO, RT-DETR, Mask R-CNN)
  • Analyze existing datasets for clothing content
  • Evaluate trained models on suitable datasets

Education

  • Bachelor's degreeOR
  • Master's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • PyTorch

Benefits

Flexible Working

  • Independent work schedule management
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