Deiteo AI - Data Labelling Company

Data Annotation for Autonomous Driving


Data labeling use case for Autonomous

The most common algorithm model for self-driving cars is based mostly on supervised deep learning. It is a model of an algorithm that shows how known variables and dependent variables work together. To train and tune the model, a lot of structured, labeled data is needed.

Bounding boxes for identification of objects such as different cars on road

Polygon annotation for classifying exact edges of all the objects including irregular shapes

Panoptic segmentation to label each pixel of each object in different classes

Semantic segmentation to label each pixel of different object classes

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