
An image recognition application allows users to classify images into different categories using a machine learning library and a dataset of images. In this project, you will build a simple image recognition application.

<h1>Create a Simple Image Recognition Application</h1>
<h2>Requirements</h2>
<ul>
  <li>
    A way to input an image and receive a classification from the application
  </li>
  <li>A way to train a machine learning model using a dataset of images</li>
  <li>A way to use the trained model to classify new images</li>
</ul>
<h2>Bonus</h2>
<ul>
  <li>
    Can you add a feature that allows users to specify their own categories and
    train the model on a custom dataset?
  </li>
  <li>
    Can you add a feature that allows users to upload their own images for
    classification?
  </li>
</ul>
<h2>Hint</h2>
<p>
  You can use a machine learning library like scikit-learn or TensorFlow to
  implement the image classification model for this project. You can also use a
  dataset of images like the{' '}
  <a href="http://www.image-net.org/">ImageNet dataset</a> to train the model.
</p>


a simple image recognition application using a machine learning library and a dataset of images

Image Recognition

An artist’s illustration of artificial intelligence (AI). This image represents how accountability needs to be core to AI systems. It was created by Champ Panupong Techawongthawonas as part of the Visualising AI project launched by Google DeepMind.