Research project leader for panoramic image saliency detection with GNNs (data annotation for AI training)
Led research on panoramic image saliency detection using graph neural networks, involving manual labeling and annotation of saliency regions for training and evaluating AI models. Worked on preparing and segmenting panoramic image datasets to support the development and benchmarking of a new joint network model. Performed detailed annotation of salient and non-salient regions, improving the model's detection accuracy and robustness. • Curated and annotated large-scale panoramic image datasets for AI training. • Collaborated with a research supervisor to refine data labeling and result analysis. • Utilized manual and semi-automated segmentation annotation strategies. • Supported the experimental pipeline with high-quality labeled images.