Object Detection Web App with TensorFlow, OpenCV and Flask
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 370 MB
Genre: eLearning Video | Duration: 9 lectures (1 hour, 1 mins) | Language: English

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

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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