USE CASE

Roads Image Segmentation

Road Path Segmentation with Dashcams

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CASE DESCRIPTION

Semantic segmentation of driving lanes, pedestrian crossings, signs, and traffic lights using polygons in CVAT

Additional classification of road traffic objects: cars, pedestrians, bicycles

The data is used for training autonomous driving systems and analyzing road conditions

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APPLICATION AREAS OF THE DATASET

Road system automation:

Computer vision for automatic recognition of road markings, vehicles, and signs on surveillance cameras

Autonomous vehicle testing:

Computer vision for training autonomous driving algorithms

Road condition assessment:

Classification for analyzing road conditions, detection for identifying defects and damages in road surfaces

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Team leads project

Anton Tseluiko

Operations manager

Arthur Kazukevich

Python-developer

Daria Yurkevich

Quality Control Manager

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