Image Segmentation involves partitioning an image based on object presence and semantic significance, mapping each pixel to its corresponding object. Unlike bounding boxes used in object detection, segmentation masks provide a detailed outline that precisely captures the shape, size, and position of an object. This finer-grained approach enables a more accurate understanding of objects while overcoming challenges like background interference and object overlap. So how can you build an Image Segmentation Engine?
The answer is in this 60 min Virtual Lab using the kandi 1-click solution kit. You will have a working model at the end of the session!
Learning Objectives: After completing this course you will,
- Understand the basics of Image Segmentation using Generative AI.
- 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 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.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on how you can build your own Image Segmentation Engine. This tutorial provides step-by-step instructions on acquiring training data, implementing cutting-edge machine learning algorithms, and deploying an effective model for accurately segmenting images, where each pixel is mapped to an object.
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.
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!