2D Bounding Boxes is perhaps the most ubiquitous annotation type one might encouter in computer vision. As the name suggests, the annotator is asked to draw a box over the objects of interest based on the requirements of the client.
The Semantic Segmentation or Pixel-level labeling is used to label each and every pixel in the image.
Landmark Annotation to recognize Facial attributes Firms in the security and surveillance sector which build facial recognition models require high-quality landmark annotations across a variety of classes.
Computers are incredibly fast, accurate and stupid; humans are incredibly slow, inaccurate and brilliant; together they are powerful beyond imagination hence the concept human-in-the-Loop.
Although 2D camera data is used to teach autonomous vehicles to find their way from Point A to PointB, it comes with its own set of drawbacks.