Lines & Splines

Lines and splines annotate the image with straight or curved lines. This is important for boundary recognition to annotate sidewalks, road marks, and other boundary measurements. As the name suggests, this type of annotation is created by using lines and splines. It is commonly used in autonomous vehicles for lane detection and recognition.

Lines and splines can be used to train storehouse robots to accurately place pallets in a row, or items on an assembly line. However, the most common application of lines and splines annotation is self-driving vehicles. Lines and splines annotate the image with straight or bend lines. This is important for boundary recognition to annotate sidewalks, road marks, and other boundary measurements. As the name suggests, this type of annotation is created by using lines and splines. It is commonly used in self-driving for lane detection and recognition. 

Different patterns of roads like highways, city roads, village roads or streets have different road surface markings and are slightly different. Self-driving vehicles also need to detect and understand these different patterns of roads.  Lines & Splines annotation work in a way to make such roads easily perceive to machines through annotated lines drawn across the road making it easier to execute AI into self-driving cars for the right movement. 

Annotation for Lane Detection 

  • Similarly, to move the self-driving vehicles in the right lane, the computer vision needs to detect the lane in the right direction.  
  • Lines & Splines annotation works here in defining the right directions, bicycle, traffic, divergence and the surroundings for smooth running on the roads.  
  • Data Annotate offers a best-in-class data annotation service to perform lines & splines for self-driving cars.     

 Annotation For Accurate Path Detection 

  • To make certain accuracy in lane detection for self-driving cars, spline annotation is used to accurately annotate the lane.  
  • The road lane with surface marking like single solid lane, broken lane or double lane, and the edge of the lane can be annotated with spline annotation.  
  • We have experts to manually annotate such road patterns with clear precision which takes longer amounts of time to annotate them carefully so that the ML process is absolutely up to the mark. 

Annotation For Road Surface Marking 

  • Line annotation is simply annotating the single lane on road for the consistent moving of the AI-enabled self-driving vehicles. 
  •  Drawing the overlapped annotated data as per the road line to make them easier for the machine learning model.  
  • We, Data Annotate are experts in lines & splines annotation services for optic perception AI models which we develop through the huge quantity of machine learning and deep learning datasets. 

Conclusion 

This technique gives access to making your computer vision system aware when to annotate boundaries. Basically, annotators execute this technique to draw trajectories in drones and due to this straight or curved lines are created on images. The final option the annotator is left with to annotate sidewalks, lanes, power lines, and other boundary indicators.