Curate video & audio data with natural language

We’re excited to announce that you can now leverage natural language and similarity search to curate your video and audio data more effectively :rocket: .

Additionally, the newly introduced cluster view and slice queries enable you to better understand your dataset, auto-label data, and prioritize labeling specific areas for improved machine learning model development.

Moreover, we are pleased to inform you that video embeddings will be computed for new data rows, free of charge for a limited time. If you wish to backfill your data or receive a tailored demonstration of these features, please don’t hesitate to contact our support team.

Key aspects :

  • Video and Audio supported

How to use it :

video search

1 Like