Groceries in the Times of Quarantine

A video artwork that employs YOLOv4 object detection with real-time processing to explore pandemic isolation through the lens of everyday grocery items. Curated by Johan Munoz and presented online, this work transforms mundane consumer objects into conceptual artifacts by utilizing YOLOv4's grid-based simultaneous prediction mechanism—a computer vision framework that divides video frames into sections while predicting bounding boxes and class probabilities with remarkable efficiency. The artwork leverages this neural network architecture not merely as a technical tool but as a conceptual framework that mirrors how machine perception increasingly mediates human experience in contemporary society.