How to annotate data for lightweight edge AI computer vision models: task choices, label design, and tools tuned for real-world deployment

How AI teams use combined synthetic and real data to scale computer vision, reduce data labeling cost, and improve the model robustness.

Learn about 18 quality metrics for computer vision data annotation, covering accuracy, consistency, completeness, and workflow efficiency.

A practical, eight-part framework to write clear 3D LiDAR point cloud data annotation guidelines. Produce consistent, production-grade data.

[With interactive selection tool] How AI teams choose data annotation platform solution. Compare cost, security, and scale for the right fit

Comprehensive guide to ADAS: sensors, perception algorithms and data annotation. Covers 11 key functions from FCW to APA with implementation tips.

Explore 15 new autonomous driving AI training datasets released in 2024-2025, covering 4D radar, adverse weather, trucks, and novel sensors.

The complete guide of panoptic segmentation in computer vision: the AI technology unifying semantic segmentation & instance segmentation.

Discover why human data annotation continues to power autonomous driving, providing the critical foundation for safe self-driving technology

30 essential 3D LiDAR point cloud datasets for autonomous driving, robotics, agriculture, etc. Find the perfect data resource for your next computer vision project.

Explore LiDAR's features, data types, algorithms, and how to conduct LiDAR annotation to create training datasets for various 3D algorithms.

Data annotation is being transformed. Check the tasks, importance, and unique features of data annotation for large language models (LLMs).

Image classification is important in the ML and CV fields. This article will give you a comprehensive understanding of it.

BasicAI Cloud is now upgraded to v1.1, with annotation tools and workflows tailored for Generative AI and large language model training.

What is YOLO? How Does YOLO Object Detection Work? The Evolution of YOLO: From v1 to v13. Real-World Applications of YOLO (You Only Look Once) models

In this post, we'll guide you through the process of preparing annotated data for YOLO model training, from labeling to organizing your data

In this post, we'll guide you through the process of implementing YOLO object counting by focusing on a real-world scenario: road vehicle counting.

Human-in-the-Loop combines human expertise with AI to enhance machine learning accuracy, efficiency, and safety.

Choosing the right data annotation tools can be challenging. In this post, we evaluated 10 leading data labeling platforms on the market.

In this post, we will provide you with insights and guidance on how to choose data annotation tools that best suit your project's needs