ML Data Annotator and Transcription
This project involved the manual annotation and labeling of urban street-level building façade images to support the development of an AI-based segmentation and shading estimation model for Building-Integrated Photovoltaic (BIPV) assessment. The objective was to create high-quality ground-truth datasets for training and validating computer vision models capable of identifying installable façade areas and analysing shading influences in dense urban environments. The role I played includes Dataset preparation and quality control, Manual pixel-level façade annotation, Annotation refinement and consistency checking, Segmentation mask validation, Error analysis and dataset balancing.