Labelbox
Data-centric AI platform for training data
Founded by: Manu Sharma, Brian Rieger, Daniel Wilson
Developer Adoption
Package downloads and ecosystem metrics, 30-day window
Active Contributors Trend
Insufficient data for trend chart
Need at least 2 data points (currently have 1)
PyPI Download Trend
pypi downloads declined from 501,711 to 490,577 (-2.2%) over the last 90 days.
Developer Community Metrics
Metrics computed from HN discussion, GitHub activity, and funding data.
Category Benchmark
75 AI Infrastructure companiesFunding Rounds
According to AI-Buzz, Labelbox has 490,577 PyPI downloads in 30 days, with 1 active contributors in 30 days.
Source: https://www.ai-buzz.com/companies/labelbox?utm_source=citation&utm_medium=referral&utm_campaign=cite_this_data
Metrics derived from public APIs (HN Algolia, GitHub, npm/PyPI). Sentiment classified by AI. See methodology for details →
About
Description
Data-centric AI platform for training data
Estimated Company Size
501 - 1000 employees
Website
labelbox.comDetails
Founded
2018
Description
Labelbox provides a data-centric AI platform that helps machine learning teams manage, curate, and label unstructured data to build and improve AI models. It streamlines the entire training data pipeline, from data annotation to model debugging, enabling faster and more accurate AI development. The platform is crucial for organizations looking to operationalize their AI initiatives by ensuring high-quality data powers their models.
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