computer vision

Image auto-segmentation and annotation

Scalable Data Pipeline

Scalable Data Pipeline

Ingest large image datasets from any data sources. Curate and filter using embeddings, metadata, and quality metrics to surface the highest-value images for labeling.

Labeling with Auto-Segmentation Workflows

Labeling with Auto-Segmentation Workflows

Build complex ontologies with nested classifications. Get pixel-perfect annotated data with automated pre-labeling using custom or SOTA models like SAM2 and YOLO.

Automated Quality Assurance

Automated Quality Assurance

Monitor annotation quality across teams with real-time analytics. Validate model predictions against ground truth data. Identify and correct systematic labeling errors before they compromise your training pipeline.

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Just Released: The World's Largest Open-Source Multimodal Dataset