MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 9 lectures (1h 1m) | Size: 307.3 MB

Detecting Objects and finding out their names from images is a very challeg and interesting field of Computer Vision.

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

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

Bner Knowledge of Python

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

Bners who are curious about Object Detection

Bners who are curious about Computer Vision

Python Developers

Computer Vision enthusiasts



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