Learning Objectives: After completing this course you will,
- Understand the Basics of Image Segmentation.
- Be introduced to SAM, OWL-ViT models for Image Segmentation and Object Detection.
- Have a fully functional Image Segmentation prototype that you can customize, showcase, share, using the existing source code.
Complete this course 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 to receive your certificate.
STEP 1 : TUTORIAL
Watch this self guided tutorial on ‘Image Segmentation with Meta AI’s SAM (Segment Anything Model)’.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the Image Segmentation Engine 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 Image Segmentation Engine kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
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.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi! Continue your learning journey with kandi
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