A Fire Detection System Based on YOLOv4

Author:

Fei Chenhe,Qian Hanwei

Publisher

Springer International Publishing

Reference14 articles.

1. Chang, H., Gou, J., Li, X.: Application of faster R-CNN in image defect detection of industrial CT. J. Image Graph. 23, 1061–1071 (2018)

2. Eker, A.: Evaluation of fabric defect detection based on transfer learning with pre-trained AlexNet. In: 2018 International Conference on Artificial Intelligence and Data Processing (IDAP) (2019)

3. Guo, T., Dong, J., Li, H., Gao, Y.: Simple convolutional neural network on image classification. In: 2017 IEEE 2nd International Conference on Big Data Analysis (ICBDA) (2017)

4. Jia, X.: Fabric defect detection based on open source computer vision library OpenCV. IEEE (2010)

5. Khatoon, S., Hasan, M.M., Asif, A., Alshmari, M., Yap, Y.K.: Image-based automatic diagnostic system for tomato plants using deep learning. Comput. Mater. Contin. 67(1), 595–612 (2021)

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