Nvidia released Flora on Hugging Face as an open data engine for labeling robot videos, combining action segmentation, captioning, progress ratings and task-outcome evaluation. Built from three fine-tuned Qwen3.5 models, Nvidia says Flora is already used to annotate up to 200,000 hours of video per day during GR00T model training. Nvidia estimates labeling costs of $0.72 per video hour versus about $88.50 for GPT-6 Astra, although these are projections rather than production measurements. Its benchmarks show strengths in action boundaries and mid-episode error detection, but GPT-6 Astra remains stronger in description accuracy and some robot-video results.