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  1. image-net.orgImageNet

    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.

  2. The ImageNet dataset contains 14,197,122 annotated images according to the WordNet hierarchy. Since 2010 the dataset is used in the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), a benchmark in image classification and object detection.

  3. image-net.org › downloadImageNet

    Download ImageNet Data. The most highly-used subset of ImageNet is the ImageNet Large Scale Visual Recognition Challenge (ILSVRC) 2012-2017 image classification and localization dataset. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images.

  4. en.wikipedia.org › wiki › ImageNetImageNet - Wikipedia

    ImageNet. 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]

  5. image-net.org › aboutImageNet

    Sep 17, 2019 · ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset".

  6. Oct 27, 2022 · ImageNet is the most popular dataset in computer vision research. The image dataset contains collected images for all sorts of categories found in the WordNet hierarchy. The 168 GB large dataset contains 1.3 million images separated into 1,000 classes with different grains of label resolution.

  7. Jun 1, 2024 · ImageNet-v2 is an ImageNet test set (10 per class) collected by closely following the original labelling protocol. Each image has been labelled by at least 10 MTurk workers, possibly more, and depending on the strategy used to select which images to include among the 10 chosen for the given class there are three different versions of the dataset.

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