Catalog eliminates the need to build your own traditional and vector database infrastructure. Build better AI applications by leveraging out-of-the-box search for images, text, videos, conversations, and documents across metadata, vector embeddings, and annotations.
Learn moreAccelerate data curation and mine edge cases by pre-labeling and enriching images and videos using state-of-the-art AI models such as Segment Anything, BLIP, or YOLOv8. Quickly extract insights and achieve remarkable performance across classification, object detection, and segmentation use cases.
Not all data impacts model performance equally. Through our active learning workflows and uncertainty sampling, you can filter for data with low-confidence predictions to curate and label the right data–not just more data.
Learn moreUse inbuilt natural language search, pre-computed, or custom vector embeddings to find similar data clusters for automated classification. Optionally send to human review for maximal accuracy.
Learn moreView a detailed class distribution of ground truth labels or model inferences to get a better understanding of your data. See how performance metrics like F1 score vary across your data so you can make the most informed decisions when curating data to label.
Not all data impacts model performance equally. Leverage your data distribution, model predictions, model confidence scores, and similarity search to curate high-impact unlabeled data that will boost your model performance.
Don’t let searching for data and edge cases slow your team down or hold up conversations with stakeholders or customers. Instead of relying on one-off query scripts, search and discover data faster inside Catalog.