Maximizing Productivity in Autonomy Data Annotation

Developing safe autonomous systems requires high-quality annotated data. The challenge isn't just collecting enough data—it's ensuring sufficient coverage, maintaining quality standards, training models effectively, and resolving performance issues as they arise. Kognic's annotation platform addresses these challenges by delivering the most annotated autonomy data for your budget.

How does Kognic help technical teams work faster while maintaining quality? Through our unique combination of Platform, Process, and People—built on years of experience working with automotive companies. This approach enables teams to maximize velocity while ensuring safety throughout the development cycle.

Productivity Through Smart Automation

Engineering teams face constant time pressure. Every hour spent identifying and fixing issues is an hour not spent on innovation. That's why Kognic focuses on reducing the time required to both identify and resolve model performance issues.

Here's how our platform delivers on this promise:

Ground-Truth Refinement

Our Ground-Truth Refinement module empowers your team to improve model performance by efficiently fixing errors in ground-truth data. The intuitive platform allows technical teams to focus on what matters by browsing data and utilizing model-in-the-loop techniques, such as ranking annotations based on contribution to the loss function. This human-machine collaboration, combined with effortless access to annotations, enables rapid dataset quality improvements.

Dataset Coverage Improvements

Maximizing velocity means selecting the data that actually matters for your safety case. Kognic helps you identify and prioritize the scenarios that will have the greatest impact on perception performance.

By leveraging all your ground truth data with existing and additional metadata, we help you identify and communicate coverage gaps that need to be filled. These gaps can be visualized, analyzed, and connected to your domain-specific ODD, enabling data collection prioritization that targets the scenarios most critical to automated driving performance and safety.

Our state-of-the-art active learning methods integrate human judgment with machine efficiency, ensuring you acquire the highest-impact data. This approach combines the best of both worlds: human expertise for complex edge cases and machine speed for routine tasks.

Ensuring Safety Through Quality Analytics

Velocity without safety is meaningless. Your autonomous system must be reliable and perform as expected. Kognic's analytics tools help you validate that your data—and your models—meet the highest safety standards.

Dataset Quality Analytics

When you receive new perception data, how confident are you that it captures your desired system behavior? How do you know whether errors require attention? Should you invest more time and budget acquiring additional data? Most importantly, will that investment actually improve perception performance?

Data quality issues are inevitable. Ambiguities in annotation tasks introduce variability that affects model performance. You need objective dataset quality metrics to determine if your dataset meets your requirements. Our Dataset Quality Analytics product provides exactly that.

The solution compares your model performance goals with the estimated reliability of your ground-truth dataset. Dataset quality issues are identified quickly, revealing whether better data would improve perception performance. When your safety requirements exceed ground-truth quality, we provide pathways to request higher-quality data.

This enables you to iterate with data just like code—starting with a baseline, identifying gaps, and refining your approach based on objective metrics.

Perception Performance Analytics

Our integrated performance comparison solution includes reporting and traceability features that connect perception performance to every step in your data pipeline. This helps you identify the root cause of model performance issues and work systematically to resolve them.

Getting Started: Define Your KPIs

To optimize your team's workflow, start by defining clear, relevant KPIs for your use case. Whether you begin with our Ground-Truth Platform or leverage our full suite of modular products, measuring KPIs helps you understand model performance. With support from our tooling, you'll identify where your model underperforms and make informed decisions about where to focus development efforts.

This is the core of Kognic's value proposition: Get the most annotated autonomy data for your budget. Our combination of productivity-focused Platform, proven Processes, and expert People makes us the price leader in autonomy data annotation.

Stay Connected

As we continue developing and refining our platform, we're constantly improving our tooling and extending our capabilities. Follow us here and on LinkedIn to stay informed about updates.

Want to learn how Kognic can help you maximize productivity while ensuring safety? Contact us at contact@kognic.com, schedule a demo, or reach out to our Account Executives on LinkedIn.