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The synthetic data boom in robotics is real, it's accelerating, and one of the most promising answers to the data bottleneck the field faces. But it has tradeoffs, and it's not a replacement for real-world data.

You fine-tune a Vision-Language-Action model, run it on LIBERO, and post a 95% success rate. The number goes in the paper, the demo video, the investor update. Then you deploy the same model on a real robot in a slightly different room, and it faceplants. Here's why.

Learn how Yext used Label Studio Enterprise to benchmark LLMs against human annotators, build trusted ground truth datasets, and analyze results to improve AI-in-the-loop workflows.

How do you build the right labeling interface in Label Studio? This video walks through a practical progression: start with templates, customize with XML tags, extend with React Code, and standardize workflows with plugins.

Everything you need to know about Label Studio to get started, from downloading and installing the tool to creating your first project, adding new members, and more!

Learn how to use YOLOv8 and LSTM for video frame classification in Label Studio, with both simple and trainable model support