Speed Up AI Training with SAM 2 for Quick Video Annotation | Sports, Robotics & Security

Learn how to annotate video data like a pro!
In this step-by-step guide, we demonstrate video annotation using a tennis match.
Explore how to label players, the ball, and even add attributes and classifications to enhance your dataset.

Highlights:
- Bounding boxes for players
- Polygon annotations for precision labeling of the ball
- Adding attributes like player activity and jersey color
- Using SAM 2(Segment Anything Model) for faster annotation

Chapters
0:00 Introduction to Video Annotation
0:20 Getting Familiar with the Video
0:29 Choosing Annotation Types
0:48 Bounding Boxes for Players
1:02 Polygon Annotation for Tennis Ball
1:14 Adding Attributes and Classifications
2:08 Main Labeling Interface
2:13 Labeling Players and Balls
3:08 Adjusting Bounding Boxes
3:20 Polygon Annotation Process
3:47 Using SAM 2 for Faster Annotation
4:28 Setting Video Classifications
4:44 Automating Annotations with SAM 2
5:43 Reviewing Annotations
6:07 Playing the Labeled Video
6:10 Conclusion and Next Steps

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Видео Speed Up AI Training with SAM 2 for Quick Video Annotation | Sports, Robotics & Security канала Labellerr