MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection

MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection MobileMold is a comprehensive dataset comprising 4,941 annotated images for food mold detection, captured using smartphones with various clip-on microscope attachments.The dataset addresses the growing need for accessible, low-cost food safety monitoring by leveraging smartphone-based microscopy. This enables research and development in computer vision applications for mold detection on various food surfaces. More Information: https://mobilemold.github.io/dataset/ Publication: Dinh Nam Pham, Leonard Prokisch, Bennet Meyer, and Jonas Thumbs. 2026. MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection. In ACM Multimedia Systems Conference 2026 (MMSys ’26), April 04–08, 2026, Hong Kong, Hong Kong. ACM, New York, NY, USA, 7 pages. https://doi.org/10.1145/3793853.3799806 Citation: This dataset supports the paper: 'MobileMold: A Smartphone-Based Microscopy Dataset for Food Mold Detection', published at ACM Multimedia Systems Conference (MMSys) 2026. When citing this dataset, please cite the associated conference paper.