AgiBot World: Chinese Startup Opens ‘Largest Humanoid Manipulation Dataset’
A buzzy Chinese robotics start up just released a massive dataset that could accelerate the large-scale deployment of autonomous humanoid robots.
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.
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’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.