Build Flask App For Image Recognition Using DL Model In Python

Here's a preview of the app.

To access the step by step tutorial on how to make this flask app using Python, Visit the article below👇👇

Build Flask App For Image Recognition Using Deep Learning Model

The web app we will make is about predicting the image of a hand sign digit. The model is trained on the dataset named "American Hand Digit Sign Language" found on Kaggle. This tutorial will focus on making a web app using the Flask web framework, so...

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Here's the full source code on GitHub👇👇

Sachin-crypto / Flask_Image_Recognition

This Flask webapp is all about predicting the hand sign digit images based on the deep learning model trained using transfer learning.

Hand Digit Image Recognition

This web app is made using Flask framework and is all about predicting the hand sign digit images based on the deep learning model trained using transfer learning.

Glimpse

Flask-Image_Recognition-App.mp4

Dependencies

• Flask
• TensorFlow (Keras)
• Numpy
• Pillow (PIL)

UI Framework

• Bootstrap

Get Started

Clone the repository in your project directory.

git clone https://github.com/Sachin-crypto/Flask_Image_Recognition.git

OR

Download as ZIP file and extract it in your project directory.

Install Dependencies

Install the dependencies from the requirements.txt file.

pip install -r requirements.txt

Run

cd into the current directory and run the script.

flask --app app.py run --debug

Click here to get the detailed guide on running the Flask app from the command line.

Test

• Choose an image from the test images folder.
• You will see a preview of the uploaded image.
• Click on Submit button and see the magic.

View on GitHub

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