3DPoint cloudLiDAR

SemanticPOSS

Introduced in SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

About this Dataset

The SemanticPOSS dataset for 3D semantic segmentation contains 2988 various and complicated LiDAR scans with large quantity of dynamic instances. The data is collected in Peking University and uses the same data format as SemanticKITTI.

Source: SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

Dataset Variants

SemanticPOSS

Papers1

SemanticPOSS: A Point Cloud Dataset with Large Quantity of Dynamic Instances

Experimental results show that SemanticPOSS can help to improve the prediction accuracy of dynamic objects as people, car in some degree and the data is collected in Peking University and uses the same data format as SemanticKITTI.

Tasks

EDIT

Semantic Segmentation 3D Semantic Segmentation Autonomous Driving Weakly supervised Semantic Segmentation

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Statistics

Papers

1

Tasks

32

Modalities

3DPoint cloudLiDAR