Cord
Automating data annotation for computer vision
Cord launched on June 9, 2021 with 170 votes, #191 of 3,650 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 5 years on.
What it does
Cord automates the creation of your training data through our novel micro-model approach. With Cord you can turn your labeling process into an automated assembly line and create training data for your computer vision applications at unparalleled speeds.
Encord is the multimodal data layer for physical AI. Manage, curate, annotate, and align petabytes of data - from sensor streams to video to text. Trusted by 300+ AI teams including Woven by Toyota, AXA, UiPath, Zipline, and more.
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Roboflow Universe2021 · universe.roboflow.com · ▲237Pre-trained computer vision models and public datasets

Autolabel, a Python library to label and enrich text data with LLMs2023 · github.com · ▲153Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!


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