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JACKgo

A classifier for mango and jackfruit.This model classifies between mango and jackfruit and gives the appropriate output.

Team members

1.ROHITH K https://github.com/Rohith272 2.ADITH AJITHKUMAR https://github.com/Werewolf-20 3.MOHAMMED SHIJAS https://github.com/stark1461

Team Id

BFH/recQoKMbjjJdZpTWx/2021

Link to walkthrough

https://www.loom.com/share/3cf63a29efa44b769f85e7e43d7d8f70

How it works?

JACKgo works with a created Tensorflow Keras model which is run by a Python script to classify Mango and Jackfruit by image classification. This is a base Python program, so the input image file is given into the program by entering the image url live into the program. The output is given out in CLI format.

Libraries used

  1. Tensorflow Keras
  2. HDF5
  3. Python

How to configure

The sample images and the model file is uploaded into Google Colab with the Python code. Please ensure that the name of the model file is same as in the Pyhon code.

How to run

To run the program the name of sample image is edited in the program and the code is executed. The resultant is given out in the output box corresponding to the sample image.

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A classifier for mango and jackfruit.

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