GDSC GHRCE X fireblaze compurt vision.pptx

Build with Ai is an event which is held at Fire blaze organised by the Google developer student club GHRCE
Organizer: Google Developer Student Clubs (GHRCE) at Fire Blaze
Speakers:
Aman Khapre - Topic: Live AI project (possibly showcasing a real-time AI application)
Aman Tiwari - Topic: Machine Learning (likely covering fundamental concepts and applications)
This event sounds like a great opportunity for those interested in learning about AI, particularly:

Students pursuing computer science or related fields
Developers curious about incorporating AI into their projects
Anyone interested in understanding the potential of AI

1. This is an example of section title slide Computer Vision

2. This is an example of section title slide Why computer vision?

3. This is an example of section title slide Computer Vision

4. This is an example of section title slide Computer Vision Computer vision is a field of artificial intelligence (AI) that uses machine learning and neural networks to teach computers and systems to derive meaningful information from digital images, videos, and other visual inputs—and to make recommendations or take actions when they see defects or issues.  

5. “Hello! Let’s know the few type of CV”

6. Image Detection and Image Classification

7. Object Detection and Object Classification

8. Segmentation and Estimation

9. Are, come under Computer vision

10. Lets Code

11. Let’s learn more about Hand Gesture Detection

12. Hand gesture recognition (HGR) is a subarea of Computer Vision where the focus is on classifying a video or image containing a dynamic or static, respectively, hand gesture. In the static case, gestures are also generally called poses. HGR can also be performed with point cloud or joint hand data.

13. What is Mediapipe

14. Lets Code

15. Let’s Build something

16. The ML Kit Pose Detection API is a lightweight versatile solution for app developers to detect the pose of a subject's body in real-time from a continuous video or static image. A pose describes the body's position at one moment in time with a set of skeletal landmark points. The landmarks correspond to different body parts such as the shoulders and hips. The relative positions of landmarks can be used to distinguish one pose from another. Pose Detection

17. Lets Code

18. Let’s Build something