3.76 (149 reviews)
☑ 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
About the Instructor
Resources and Folder Structure
Object Detection Project
Importing Packages and Data
Routing and Image Upload
Object Detection and Binding
Implementation and Output
Want More explanation about all python important Module. Good course, Waiting for the more amazing course.
Overall, the course is good. However, it could be delivered in tf 2.x rather than tf 1.2.0. Also, the course doesn't cover how to host the GUI online rather than locally. I appreciate the fact that it is a very concise course.
I loved the whole course from the instructor, clear English and good mastery of speech. -Thank you Udemy
Terrible. Voice can not be understood. No preparation for videos. Low quality videos, terrible explanations. Just watch youtube videos they are much better quality than this course.
The course was awesome. Building real-time projects like this are my interests. Finally, I did this project and learned a lot of knowledge about the object detection.
Great Project to work on. Recommended for everyone who are passionate about building Computer Vision Projects.
This project has boosted me to do more and also created an enthusiasm for doing different projects, looking forward to doing more projects. Thank you to the instructor ,very clear explanation for everything.