Harbor ML is an enterprise data infrastructure platform for training-ready multimodal datasets - video, image, audio, and combined modalities - with programs in robotics, life sciences and bio ML, security-relevant corpora, and other high-stakes domains. Harbor controls sourcing through human-validated annotation and tiered QA, and delivers documented eval slices plus exports (including COCO-style vision annotations where applicable) with manifests and schema documentation. Teams that run internal RL or simulation stacks receive env-compatible metadata and handoff bundles designed to plug into their existing runners - not a replacement for customer-owned environments.

What types of datasets does Harbor provide?

Harbor provides video, image, and audio datasets for perception, speech, robotics, life sciences and bio ML, security-relevant classification, and multimodal fusion. Annotations commonly include COCO-style exports for vision (bounding boxes, instance segmentation, keypoints, temporal segments) plus structured metadata and custom enterprise formats. Delivery includes manifests and versioning so programs can start with a small evaluation slice before scaling.

How does Harbor's annotation quality compare to Tier-1 enterprise labeling?

Harbor delivers datasets aligned with common enterprise outsourced-labeling QA bars, with AI pre-labeling combined with human-in-the-loop refinement. Delivery runs through a documented certification checklist (for example thresholds such as ≥95% object accuracy, ≥0.85 mask IoU, ≥70% tracking consistency on agreed slices)—exact gates are negotiated per contract.

What annotation formats does Harbor support?

Harbor exports commonly include COCO JSON for vision workloads (bounding boxes, polygon and RLE masks, keypoints, temporal action segments) alongside manifests, schema documentation, and optional custom conversions for enterprise clients. Bundles can include env-compatible metadata for teams integrating data into internal RL or evaluation runners.

How much does Harbor cost?

Harbor offers flexible pricing tiers: a free starter plan for small projects, a Growth plan at $499/month for production workloads, and custom Enterprise pricing for large-scale deployments with dedicated support, SLA guarantees, and on-premise options. Visit harborml.com/pricing for current rates.

Harbor ML - Multimodal Data Infrastructure & AI Datasets

Harbor ML provides governed multimodal datasets, pipeline QA, and train-ready delivery for robotics, life sciences, security-relevant ML, and enterprise AI. Teams typically start with a documented eval slice; Harbor supplies manifests, schemas, and env-compatible metadata for labs that run their own RL and evaluation runners.