3D cloud Point Data Annotation for AI

3D labeling

3D point cloud annotation allows you to visualize an object for more detailed detection in order to get the dimension exactly correct.
USE CASES-

Detecting vehicles, vulnerable road users, traffic signs, traffic lights, etc for self-driving cars and smart cities
Scanning buildings for quality control and detect defects.
Farming with precision agriculture: to reduce the amount of fertilizer applied to the field.

Polygon

In computer vision, polygon annotation is very often used in object detection and recognition models due to its pixel-perfect labeling capability.
USE CASES-

Detect irregular shapes like pedestrians or bikes in a street scene
Detect irregular shapes of products in manufacturing
Monitoring the growth of plants in Agriculture
Outlining the anatomy of internal organs on CT, MRI and sensory data scans in Healthcare

Image annotation portfolio

Total Image

600

Project

Country

Returning client

100%

Point Annotation

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Label and categorize objects, movements, and events within 3D cloud point data to make them useful for machine learning and AI by Dodeed AI.