Search results
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.
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.
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] .
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.
Sep 17, 2019 · 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.
💡 This dataset provides access to ImageNet (ILSVRC) 2012 which is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images.
We introduce here a new database called “ImageNet”, a large-scale ontology of images built upon the backbone of the WordNet structure. ImageNet aims to populate the majority of the 80,000 synsets of WordNet with an average of 500–1000 clean and full resolution images.
September 2, 2014: A new paper which describes the collection of the ImageNet Large Scale Visual Recognition Challenge dataset, analyzes the results of the past five years of the challenge, and even compares current computer accuracy with human accuracy is now available.
Oct 28, 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.
ImageNet 2012 is the most commonly used subset of ImageNet. This dataset spans 1000 object classes and contains 1,281,167 training images, 50,000 validation images and 100,000 test images.
