AI Object Detection is used to build computer vision-based applications for face detection, vehicle detection, pedestrian counting, web images, security systems, and driverless cars with this ready-to-deploy template application. But how do you create an object detection engine?
The answer is in this 60 min Virtual Lab using the kandi 1-click solution kit for AI Object Detection engine. You will have a working model at the end of the session!
Complete this Virtual Lab in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.
NOTE: Your start date is the date you enrolled for this course. You have 90 days from your enrollment date to complete the course.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on importing computer vision libraries and pytorch, load pre-trained model and real-time detection to build your own Object Detector using Artificial Intelligence.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the object detector kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the object detector kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
After completing this step, proceed to STEP 3.
STEP 3 : ASSESSMENT
Complete a short assessment and earn your certificate now. 
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
SUPPORT
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi!