Object Detection Web App with TensorFlow, OpenCV and Flask

Object Detection Web App with TensorFlow, OpenCV and Flask

Object Detection Web App with TensorFlow, OpenCV and Flask

Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning

Language: english

Note: 3.5/5 (255 notes) 40,882 students

Instructor(s): Yaswanth Sai Palaghat

Last update: 2021-01-14

What you’ll learn

  • Object Detection
  • Computer Vision with OpenCV
  • Deploying Object Detection Model as Flask Web app
  • Using Pre-trained Machine Learning Models
  • Python Project Development
  • Training using Tensorflow

 

Requirements

  • Beginner Knowledge of Python

 

Description

Detecting Objects and finding out their names from images is a very challenging and interesting field of Computer Vision.

The core science behind Self Driving Cars, Image Captioning and Robotics lies in Object Detection.

In this course, you are going to build a Object Detection Model from Scratch using Python’s OpenCV library using Pre-Trained Coco Dataset.

The model will be deployed as an Web App using Flask Framework of Python.


TECHNOLOGIES & TOOLS USED

  • Python

  • Machine Learning

  • Deep Learning

  • Transfer Learning

  • Tensorflow

  • OpenCV

  • Flask

 

Who this course is for

  • Beginners who are curious about Object Detection
  • Beginners who are curious about Computer Vision
  • Python Developers
  • Computer Vision enthusiasts

 

Course content

  • Introduction
    • Introduction
    • About the Instructor
  • Getting Started
    • Resources and Folder Structure
    • Installation
  • Object Detection Project
    • Importing Packages and Data
    • Detection
    • Routing and Image Upload
    • Object Detection and Binding
    • Implementation and Output
    • Youtube (Bonus)

 

Object Detection Web App with TensorFlow, OpenCV and FlaskObject Detection Web App with TensorFlow, OpenCV and Flask

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