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ImageNet

ImageNet is a large-scale visual database designed for use in image recognition research. Developed under the leadership of Fei-Fei Li at Stanford University, it contains millions of labeled images organized according to the WordNet hierarchy. The dataset played a crucial role in advancing deep learning, particularly after the 2012 ImageNet Large Scale Visual Recognition Challenge, which demonstrated the power of convolutional neural networks in computer vision.

AgiBot World: Chinese Startup Opens ‘Largest Humanoid Manipulation Dataset’

May 14, 2026January 4, 2025 by Mike Kalil
Agibot World simulation

A buzzy Chinese robotics start up just released a massive dataset that could accelerate the large-scale deployment of autonomous humanoid robots.

Fei-Fei Li, Godmother of AI, Launches $1B Spatial Intelligence Startup

December 27, 2025September 16, 2024 by Mike Kalil
Fei-Fei Li, the Godmother of AI, launches new AI spatial intelligence startup World Labs

Fei-Fei Li’s new spatial intelligence startup, World Labs, recently emerged from stealth mode with $230 million in funding. Even without a product, the San Francisco-based outfit is valued at a billion.

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