Implementation of Python Packages For Image Recognition

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2021 by IJCTT Journal
Volume-69 Issue-11
Year of Publication : 2021
Authors : Snehal Shah, Kishan PS, Jitendra Jaiswal
  10.14445/22312803/IJCTT-V69I11P102

MLA

MLA Style: Snehal Shah, Kishan PS, Jitendra Jaiswal"Implementation of Python Packages For Image Recognition" International Journal of Computer Trends and Technology 69.11 (2021):6-10.

APA Style Snehal Shah, Kishan PS, Jitendra Jaiswal. Implementation of Python Packages For Image Recognition  International Journal of Computer Trends and Technology, 69(11), 6-10.

Abstract
In today’s society, data plays a significant role from time to time. Here we have taken the real-time image as well as the video for recognition of objects. Using CNN (convolutional neural network) to recognize images, machine learning and deep learning play a crucial role in object recognition. We have used YOLO for object detection, where the images and framework are divided into grids. The OpenCV package allows real-time recognition of images and videos. NumPy package is used for calculation purposes and to check the confidence level and even FPS of the image or video

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Keywords
YOLO, OpenCV, NumPy, CNN, DNN