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The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]
- ImageNets
ImageNets is an open source and platform independent...
- ImageNets
Fei-Fei Li (李飞飞; born 1976) is a China-born American computer scientist, known for establishing ImageNet, the dataset that enabled rapid advances in computer vision in the 2010s. She is the Sequoia Capital professor of computer science at Stanford University and former board director at Twitter.
- American
ImageNet. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which each node of the hierarchy is depicted by hundreds and thousands of images. The project has been instrumental in advancing computer vision and deep learning research.
Overview. Welcome to the ImageNet project! ImageNet is an ongoing research effort to provide researchers around the world with image data for training large-scale object recognition models. What is ImageNet? ImageNet is an image dataset organized according to the WordNet hierarchy.
ImageNet is a large-scale visual database that aims to provide researchers and educators with high-quality images and annotations for various computer vision tasks. ImageNet also hosts annual challenges to evaluate and advance the state-of-the-art in image recognition and classification.
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million [1] [2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided. [3]
