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Object Detection Web App with TensorFlow, OpenCV and Flask

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Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning
3.7
3.7/5
(316) Ratings
50,686 students
Created by Yaswanth Sai Palaghat
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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
This course includes:
1 total hour on-demand video
0 articles
0 downloadable resources
10 lessons
Full lifetime access
Access on mobile and TV
Certificate of completion
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Course content

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
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