Fine-tuned Surface Object Detection Applying Pre-trained Mask R-CNN Models

• Main Authors: Fujita, H., Itagaki, M., Ichikawa, K., Hooi, Y.K., Kawahara, K., Sarlan, A.
• Format: Conference or Workshop Item
• Published: Institute of Electrical and Electronics Engineers Inc. 2020
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097532534&doi=10.1109%2fICCI51257.2020.9247666&partnerID=40&md5=2758293eafa9dbd7d5a0e244112984ec; http://eprints.utp.edu.my/29862/

This study evaluates road surface object detection tasks using four Mask R-CNN models available on the Tensor-Flow Object Detection API. The models were pre-trained using COCO datasets and fine-tuned by 15,1SS segmented road surface annotation tags. Validation data set was used to obtain Average Pre...