Object Detection Web App with TensorFlow, OpenCV, and Flask

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

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

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 an Object Detection Model from Scratch using Python’s OpenCV library using Pre-Trained Coco Dataset.

The model will be deployed as a 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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Harshit Srivastava

My name is Harshit Srivastava and I am a Digital marketer + Blogger + managing online marketing strategies for brands big and small. I’m a specialist in brand development, website design, online community management and ongoing web marketing strategy. Whether you need a few hours of consultation, a new website, or ongoing help with your online presence, I can help you with that. I have an innovative spirit, I enjoy what I do, and I bring positive, creative energy to my work!

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