Auto-fit: A human-machine collaboration feature for fitting bounding box annotations

• Main Authors: Cruz, Meygen, Keh, Jefferson, Velasco, Neil Oliver M., Jose, John Anthony, Sybingco, Edwin, Dadios, Elmer P., Madria, Wira F., Miguel, Angelimarie
• Format: text
• Published: Animo Repository 2020
• Subjects: Computer vision; Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/12591
• Institution: De La Salle University

Large high-quality annotated datasets are essential in training deep learning models, but are expensive and time-consuming to create. A large chunk of time in the annotation process goes into adjusting bounding boxes to fit the desired object. In this paper, we propose the facilitation of human mach...