From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

Unlock this course with a free trial

Join today to access over 24,700 courses taught by industry experts.

Auto-annotate detection data to segmentation format

Auto-annotate detection data to segmentation format - OpenCV Tutorial

From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV

Start my 1-month free trial Buy for my team

Auto-annotate detection data to segmentation format

“

- [Instructor] In this video, we will explore how to convert a detection data set into a segmentation data set using the Segment Anything Model with Ultralytics Python package. Meta released Segment Anything Model two years ago. We can use the Segment Anything Model for segment everything, and you can also use it to segment specific objects. Ultralytics provided a detailed documentation about SAM model, like its key feature, what model we can use with Ultralytics package, its prediction example with code, how we can segment everything, how we can run the prediction on video file and so on. The most interesting feature of Segment Anything Model is auto-annotation feature, where you provide the detection data and in result you get segmentation data. Let's head over to the auto-annotation section of Segment Anything Model. Here you can see auto-annotation option. Let's take a look at the arguments that you can use with auto-annotation. So you have the data argument that you can use to…

Contents