5 papers
Colony Grounded SAM2: Zero-shot detection and segmentation of bacterial colonies using foundation models
Daan Korporaal, Patrick de Kruijf, Ralph H. G. M. Litjens +1
The detection and classification of bacterial colonies in images of agar-plates is important in microbiology, but is hindered by the lack of labeled datasets. Therefore, we propose…
Identifying environmental factors associated with tetrodotoxin contamination in bivalve mollusks using eXplainable AI
M. C. Schoppema, B. H. M. van der Velden, A. HürriyetoÄlu +4
Since 2012, tetrodotoxin (TTX) has been found in seafoods such as bivalve mollusks in temperate European waters. TTX contamination leads to food safety risks and economic losses, m…
Food safety trends across Europe: insights from the 392-million-entry CompreHensive European Food Safety (CHEFS) database
Nehir Kizililsoley, Floor van Meer, Osman Mutlu +9
In the European Union, official food safety monitoring data collected by member states are submitted to the European Food Safety Authority (EFSA) and published on Zenodo. This data…
BrightCookies at SemEval-2025 Task 9: Exploring Data Augmentation for Food Hazard Classification
Foteini Papadopoulou, Osman Mutlu, Neris Ãzen +3
This paper presents our system developed for the SemEval-2025 Task 9: The Food Hazard Detection Challenge. The shared task's objective is to evaluate explainable classification sys…
Federated learning in food research
Zuzanna Fendor, Bas H. M. van der Velden, Xinxin Wang +3
Research in the food domain is at times limited due to data sharing obstacles, such as data ownership, privacy requirements, and regulations. While important, these obstacles can r…