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Discover and analyze over 14 million images with ImageNet. Find the perfect image for your project with ease using our comprehensive categorization and search functions. Label and compare images effortlessly with our annotation and comparison tools. Boost your research and development with ImageNet's invaluable resources.

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What is ImageNet?

ImageNet is a comprehensive online database that houses an extensive collection of over 14 million images, serving as a valuable resource for research and development purposes. This database offers users access to a diverse range of datasets, encompassing everything from natural scenes to medical images. With its meticulous categorization system, ImageNet enables users to swiftly locate the specific images they require. The images are meticulously organized into more than 20,000 distinct categories, ensuring ease of access and efficient searching. Users can employ the search function to find images either by keyword or by category.

For researchers, scientists, and students alike, ImageNet proves to be an indispensable tool. Its vast collection of images, neatly categorized, empowers users to promptly and effortlessly discover the ideal image for their projects. Moreover, ImageNet provides a myriad of tools to aid users in image analysis, manipulation, and organization. The image annotation tool facilitates accurate labeling and organization of images, while the image comparison tool enables quick and convenient side-by-side comparisons.


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ImageNet FQA

  • What is the purpose of ImageNet?icon plus
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ImageNet Use Cases

ImageNet is an image database organized according to the WordNet hierarchy, 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.

The data is available for free to researchers for non-commercial use.

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