AI-powered food recognition: image-based object detection and annotation
I performed image-based food object detection for an AI-powered food management platform. My work involved integrating and testing real-time image recognition pipelines to increase the platform's recognition accuracy. I collaborated with external AI APIs (Gemini, Clarifai, LogMeal) to augment image annotation and labeling results. • Utilized YOLOv8, OpenCV, and Pillow for image processing and annotation. • Labeled food items in varied image datasets for object detection training. • Evaluated and enriched external AI recognition results on food images. • Contributed to end-to-end pipeline validation and automated annotation accuracy testing.