Even though modern deep learning algorithms save us from the hassle of explicit feature engineering, it doesn't mean we can just throw random data at them and expect fantastic results. We need to curate relevant, diverse, and representative datasets if we want our models to perform their best and generalize well across various scenarios.

So, the burning question is - how do you curate a vast ocean of image data? The answer lies in embeddings - the Swiss army knife of machine learning.

Join the webinar to learn about:
- Data Curation: The art and science of enhancing model performance through strategic data selection.
- Embeddings: Their fundamental principles and how they empower us to curate more effective datasets.
- Superb Curate: A walk-through of our new tool, leveraging embeddings for streamlined data management and curation.

If you are actively working on computer vision projects or performing research in the field, then this webinar is for you!

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