Flask App with Object Detection Model

This is a flask app that uses custom trained yolo object detection model to predict object and their counts and sends them to a webserver

Features

• Detects object and their count
• Save images and prediction details

Technologies Used

• Python

Installation

To run the web application on your local machine, follow these steps:

1. Clone the repository to your local machine:

git clone https://github.com/Fenaz12/IntelliShelf-ObjectDetection

2. Install required packages:

pip install -r requirements.txt

3. Start the app:

python app.py

Now you can send images to this flask app from your mobile and view the predictions in our web app