
Advanced AI Datasets & Annotation Tools for Self-Driving Cars
Self-driving vehicles depend on robust computer vision systems powered by vast amounts of structured, human-annotated data. We deliver high-quality, error-free, and cost-effective AI training datasets designed specifically for autonomous vehicles. Our comprehensive annotation tools include:
Data Annotation Tools for Autonomous Vehicles

Bounding Box for Object Detection
Precisely drawn boxes that outline objects with defined coordinates.
3D Cuboid for Precise Dimension
Cuboids provide 3D perspectives for accurately distinguishing vehicles, pavements, and pedestrians.


Semantic Segmentation for Image Classification
This technique segments images into distinct regions for detailed object detection.
3D Point Cloud for LiDARs
High-precision labeling that visualizes and tracks LiDAR data.


Polygon for Irregular Shapes
Multiple vertices are used to accurately annotate non-standard shapes.
Polyline for Lane Detection
These enable precise definition of road directions, divergences, and sidewalks for enhanced navigation.

Why You Should Choose LabelForge for Automotive Automation
Reason #1
Our specialized training data, curated by over 1,200 dedicated annotation experts, empowers AI and machine learning systems to fine-tune self-driving vehicles with precision and reliability.
Reason #2
We meticulously label images and videos—capturing pedestrians, vehicles, roads, traffic signals, and more—to ensure flawless object detection and seamless self-driving functionality.
Interested in Joining Our Team?
In today's tech-driven world, a career in Artificial Intelligence (AI) can be highly rewarding. Join our team of Annotation Specialist, and be a part of the company that creates high-quality training datasets.
Get in Touch with us

102 Tran Phu, Mo Lao, Ha Dong, Ha Noi

+84 812-436-221