Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning
What you will 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 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
English
language
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