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Semantic Segmentation for Autonomous Driving

1. What is Semantic Segmentation for Autonomous Driving?

Semantic Segmentation is one of the most important areas in the field of computer vision. It's a way to analyze images with a complete understanding of the scene, more than simply categorizing them into categories or labeling them where they are and what they are.

Recognition objects: bicycles, motorcycles, buses, trucks, cars, airplanes, trains, boat road facilities, traffic lights, stop signs, fire hydrants, parking meters

2. Use Semantic Segmentation for Autonomous Driving with AI Market

2-1.AI Market

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1) Click Marketplace under AI Market

2-2.Predict Semantic Segmentation for Autonomous Driving

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2) Among the Quick Start models, click 'PREDICT' for 'Semantic Segmentation for Autonomous Driving'.

3) Upload an image for prediction.

4) Click 'RUN' to view and download the result.

5) Check the coordinate values of each labeled object.