Among the segmentation in the form of Polygon Labeling, it is a smart labeling model that performs a distinguishable Instance Segmentation task for each instance within the same class.

It is available when the task type is set to Poly segmentation in the project's labeling setting.

Vehicle/Pedestrian

1. Definition of Class

• Vehicle
  Standard vehicles such as Sedan or SUVs (except vans, trucks, buses, and special vehicles, excluding vehicle accessories)
• Pedestrian
  Kids, adult pedestrians, and riders

2. Minimum inference size

• Vehicle : 20px(width) * 25px(height)
• Pedestrian : 10px(width) * 15px(height)

Lane/Corner

1. Definition of Class

• Lane: Lanes on the road (colors of lanes: white, orange, blue), (types of lanes: Solid line, dotted line)
• Corner: Curbs at the edge of the road

2. Minimum inference size

• Line : px(width) * px(height)
• Corner : px(width) * px(height)

The extent of the performance guarantee of Smart Labeling

1. Information about images

• Resolution: HD or higher
• Camera lens view angle: 120° or lessHowever, inference performance will be degraded for images that have not been corrected for distortion. e.g., fisheye lens

2. Threshold

• Performance will be degraded for inference instances that are less than threshold 0.8.

3. Exceptions

• Inference performance will be degraded for images that blur occurs in images because of rain, snow, foreign objects, etc.
• Inference performance will be degraded for images that have severe backlighting.

If you have any other inquiries, please get in touch with us at [email protected]