Fig 11 - uploaded by A. Z. M. Tahmidul Kabir
Content may be subject to copyright.
A. confidence rate of identifying the vehicle to remove, B.Mask of the car without dilation, C. Output after inpainting using mask without dilation, D. Mask of the vehicle after dilation, E. output after inpainting using mask with dilation.

A. confidence rate of identifying the vehicle to remove, B.Mask of the car without dilation, C. Output after inpainting using mask without dilation, D. Mask of the vehicle after dilation, E. output after inpainting using mask with dilation.

Source publication
Article
Full-text available
A popular method for training a machine learning model is to use a data-driven approach. This research contributes to expanding the dataset of urban road images without vehicles. Using this method will benefit a variety of existing and new research projects that require an empty road to train their data-driven model. To achieve the desired result,...

Similar publications

Article
Full-text available
Breast cancer is a lethal illness that has a high mortality rate. In treatment, the accuracy of diagnosis is crucial. Machine learning and deep learning may be beneficial to doctors. The proposed backbone network is critical for the present performance of CNN-based detectors. Integrating dilated convolution, ResNet, and Alexnet increases detection...