Labelbox platform helps you improve model capabilities efficiently by finding and prioritizing high impact data to label. It brings together the very best of data visualization and vector & traditional search across raw data, metadata, ground truth labels and more.
Explore, search and create high quality datasets with ease across all teams
Search multimodal data (chat, image, videos, documents) with natural language. Optimize model performance by mining edgecases and automatically surface and prioritizing matching data to label.
Automate data labeling with foundation models and few shot classification techniques
Use 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.
Ensure high-quality, trustworthy outcomes with human-centric model evaluation
Identifying and fixing model errors with improved training data is the key to building high-performing models. Conduct powerful error analysis to surface model errors, diagnose root causes, and fix them with targeted improvements to your training data. Collaboratively version, evaluate, and compare training data, hyperparameters, and models across iterations in a single place.
You can bring data into Labelbox from 25+ sources in minutes without writing any lines of code and maintain the highest standards in enterprise privacy and security
Start with a production-grade AI data pipeline from day 1. Sync data from 25+ sources, including Google BigQuery, Amazon Redshift, Databricks, Snowflake & Elastic Search within minutes.
At Labelbox, the security and privacy of our customers’ data is a top priority. Our ever-expanding privacy and security program is rooted in the principles of Privacy by Design and informed by both industry standards (i.e SOC 2, ISO 27001, GDPR, etc) and customer needs across a multitude of industries. As a result, our customers can rely on Labelbox’s enterprise-grade security to support and enable breakthroughs for their machine-learning teams and AI applications.