Classification of Fruits / Vegetables using TensorFlow

Classification of Fruits / Vegetables using TensorFlow

Authors

  • Niharikareddy Meenigea
  • Venkata ravi kiran kolla

Abstract

Recognition is one of the main areas in computer vision, it yields high- position understanding by computers, one of the most important areas in recognition is object recognition which is the process of chancing a specific object in an image or videotape
sequence. This paper is proposing the regard of the recognition of a particular Fruit. This is being enforced on the TensorFlow platform, which is making use of OpenCV as the main library database. TensorFlow algorithm uses tensor as its introductory unit of information. originally the given frame is converted into an image and discerned into boxy corridor from which the features are uprooted, so to gathered it into the data set. similar data sets are reprised from every boxy unit, surfaced as the whole bunch of values after covering completely through given frame.

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Published

2019-01-21

How to Cite

Meenigea , N., & kolla, V. ravi kiran. (2019). Classification of Fruits / Vegetables using TensorFlow. International Transactions in Artificial Intelligence, 3(3). Retrieved from https://isjr.co.in/index.php/ITAI/article/view/118

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