A benchmark dataset in chemical apparatus: recognition and detection
A benchmark dataset in chemical apparatus: recognition and detection
L. Zou,Ze-Sheng Ding,4 Authors,Xiaofeng Wang
2023 · DOI: 10.1007/s11042-023-16563-8
Multimedia tools and applications · 4 Citations
TLDR
A computer vision method for identifying and detecting chemical apparatus automatically and shows that ResNet50 has the highest accuracy in the chemical apparatus image recognition dataset; Faster R-CNN (ResNet50-fpn) and YOLOv5 performed the best in terms of mAP and AR in the chemical apparatus object detection dataset.