Object Detection Web App with TensorFlow, OpenCV and Flask
Offered By: Udemy
Course Description
Overview
Build an Object Detection Model from Scratch using Deep Learning and Transfer Learning
What you'll learn:
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
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
Taught by
Yaswanth Sai Palaghat
Related Courses
Authentication & Authorization: OAuthUdacity Designing RESTful APIs
Udacity A Social Network with Flask Course (How To)
Treehouse Introducción al desarrollo de aplicaciones web
Universidad Autónoma de Madrid via edX Automating Real-World Tasks with Python
Google via Coursera