Journal of Dali University ›› 2021, Vol. 6 ›› Issue (12): 23-28.

Previous Articles     Next Articles

Design and Implementation of Ethnic Costume Recognition System Based on Faster-RCNN

  

  1. College of Engineering, Dali University, Dali, Yunnan 671003, China
  • Received:2021-07-05 Online:2021-12-15 Published:2022-01-14

Abstract:

Ethnic costumes is a treasure of the Chinese nation and the identification of ethnic costumes has played a positive role in promoting ethnic cultures. In the field of target recognition convolutional neural networks have an outstanding performance. In order to distinguish traditional ethnic costumes a recognition system based on Faster-RCNN algorithm was designed and implemented. The system realizes the identification of Bai Miao and Mongolian costumes and can output target-classification labels confidence intervals and coordinate information. At the same time the system can recognize multi-target costumes. After testing the MAP value of the recognition model is 67.88% which achieves a better effect of ethnic costume recognition.

Key words: Faster-RCNN, ethnic costume recognition, convolutional neural networks

CLC Number: