Build and Deploy an Image Classification API with NodeJS, Express and Tensorflow.js MobileNet

Build and Deploy an Image Classification API with NodeJS, Express and Tensorflow.js  MobileNet

A step-by-step guide for image classification models in MobileNet, NodeJS, and Express

Today, we’re going to be building a RESTFUL API that takes in an image and make predictions using a TensorFlow MobileNet pre-trained model.

TensorFlow.js has many pre-trained models that can be used in projects out of the box. This saves developers the task of training a model from scratch. Here we’re going to explore the MobileNet pre-trained architecture

Development

If you haven’t already setup NodeJs on your computer, follow this link to download and install.

Open your terminal and follow the steps below.

  1. Paste and run the command below to:
  • Create a folder.
  • Navigate into the folder.
  • And initialize a new project which creates a package.json file.
mkdir image-classifier-api && cd image-classifier-api && npm init --yes

2. Still in the terminal, run the following command to install dependencies:

npm i express logger @tensorflow-models/mobilenet @tensorflow/tfjs get-image-data multer morgan nodemon jimp cors --save

nodejs machine-learning image-classification tensorflow

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