Learn how to Build and Deploy a Custom Object Detector Computer Vision Model using PyTorch

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 course using the kandi 1-click solution kit for AI Object Detection engine. You will have a working model at the end of the session!

Learning Objectives

After completing this course you will:

  • Have a good working knowledge of the Fundamentals of Computer Vision.
  • Learn various concepts involved in building an object detection engine such as image augmentation used to prepare your own dataset, use existing datasets such as COCO or Pascal and understand the working of Neural Networks.
  • Have a fully functional object detector prototype that you can customize, showcase, and share, using the existing source code.
  • Be able to fine tune the model to enhance its performance.

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 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.

kandi 1click kits include Python, Jupyter notebook and helps you learn to apply deep learning, computer vision (cv) to implement an object detector of your own, learn to capture live webcam stream, and also prepare dataset images using image augmentation and use a pre-trained model like YOLOv5 which is trained on the COCO dataset for object detector.

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.

kandi 1click kit button

After completing this step, proceed to STEP 3.


STEP 3 : ASSESSMENT

Complete a short assessment and earn your certificate now. Congrats
TakeAssessment

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! Continue your learning journey with kandi Congrats

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