Get all your annotation requirements done for just $3.5/hr.
Try our
free demo services Now
Training intelligent machines with algorithms require precise datasets that are processed using different annotation techniques. Being an image labeling expert, we have immense experience and expertise in various types of data annotation services. Types of annotation that we do are listed below.
A perfectly bounding 2D box is used to label the objects in a given 2D image. Mostly used in creating datasets for autonomous vehicle training.
Objects in an image are labeled by drawing an accurate contour around it. Used in creating datasets for training precise application models.
The image is segmented semantically at its pixel level. Based on the pixel labeling, semantic segmentation is of 2 types:
Labeling of objects in an image using cuboids for processing 3D training data. This technique can be used in both 2D images and 3D point cloud data.
Objects in an image are labeled using points to determine the shape of it. Keypoint annotation are used to label facial/skeletal features, automotive parts etc.
It is the labeling of lanes using splines. Exclusively used for validating ADAS systems in autonomous vehicle training.
ISO 27001:2013 Certified | ISO 9001:2015 | © 2023 INFOLKS