Labelbox offers AI training data and MLOps products engineered for rapid AI development in defense and intelligence. These products can power diverse mission-specific supervised AI systems operating on text, documents, videos, and geospatial data.
Not all training data will improve model performance equally. That’s why visualizing all your data — structured and unstructured — can help your defense and intelligence AI team develop a deeper understanding of your data and its potential. Labelbox Catalog enables users to search, filter, and sort data, as well as curate optimal batches of datasets for labeling.
Get complete visibility and control of every aspect of data labeling operations with Labelbox Annotate. Leverage the benefits of advanced labeling automation techniques, efficient QA workflows, and an intuitive labeler experience to accelerate mission-critical defense and intelligence AI projects.Learn more
Access data labeling services rendered by specialized annotators within air-gapped and classified networks through streamlined processes within the Labelbox platform.Learn more
Your model is only as good as your data. Evaluate and test models, take action to boost performance, and orchestrate re-training jobs with data-centric tools and workflow.Learn more
Gaining a deep understanding of model performance is key to improving it, as well as maintaining it after deployment. Labelbox brings integrated qualitative and quantitative tools to help teams understand, monitor, and improve model performance for AI projects in defense and intelligence.Learn more
Labelbox can be deployed in any secure environment for maximum security and privacy.Learn more
“Core to the enablement of AI based machine learning algorithms for our Intelligence Community and National Security partners is the need to accurately and cost-effectively label vast amounts of training data. Labelbox, offers our partners a state-of-the-art data annotation and data labeling platform for our IC partners to quickly and cost effectively label their AI training data.”
How Blue River Technology used model-assisted labeling to reduce labeling costs by 50%
High labeling costs associated with the costs of crops vs. weeds on full image segmentation images.
Labelbox’s model-assisted labeling and collaborative annotation suite.
The company is now able to standardize how they create and manage data all in a single location and using Labelbox's automation suite, they’ve seen a reduction in labeling times by 50%, worth millions of dollars in cost savings per year.
How Sharper Shape built a streamlined annotation pipeline to detect utility defects
Robotics and sensors