Object Detection Web App with TensorFlow, OpenCV and Flask

[mitsumi]

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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