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] ImageNet contains more than 20,000 categories,[2] with a typical category, such as "balloon" or "strawberry", consisting of several hundred images.[4] The database of annotations of third-party image URLs is freely available directly from ImageNet, though the actual images are not owned by ImageNet.[5] Since 2010, the ImageNet project runs an annual software contest, the ImageNet Large Scale Visual Recognition Challenge (ILSVRC), where software programs compete to correctly classify and detect objects and scenes. The challenge uses a "trimmed" list of one thousand non-overlapping classes.[6]
^"New computer vision challenge wants to teach robots to see in 3D". New Scientist. 7 April 2017. Retrieved 3 February 2018.
^ abMarkoff, John (19 November 2012). "For Web Images, Creating New Technology to Seek and Find". The New York Times. Retrieved 3 February 2018.
^"ImageNet". 7 September 2020. Archived from the original on 7 September 2020. Retrieved 11 October 2022.
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^"ImageNet Overview". ImageNet. Retrieved 15 October 2022.
^Cite error: The named reference ILJVRC-2015 was invoked but never defined (see the help page).
The ImageNet project is a large visual database designed for use in visual object recognition software research. More than 14 million images have been...
Krizhevsky's Ph.D. advisor at the University of Toronto. AlexNet competed in the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012...
Inception Convolutional Neural Network, originally introduced during the ImageNet Recognition Challenge. The design of Inceptionv3 was intended to allow...
developed in 2015 for image recognition and won that year's ImageNet Large Scale Visual Recognition Challenge (ILSVRC). ResNet behaves like a highway...
GPUs opened the way to the development of advanced AI models. AlexNet won the ImageNet challenge in 2012. Krizhevsky and Sutskever sold their startup, DNN...
YouTube. Krizhevsky, Alex; Sutskever, Ilya; Hinton, Geoffrey E (2012). "ImageNet Classification with Deep Convolutional Neural Networks". Advances in Neural...
(dataset of 60000 32x32 labeled RGB images). Subsequently, a similar GPU-based CNN by Alex Krizhevsky et al. won the ImageNet Large Scale Visual Recognition...
computer vision and machine learning. She was one of the leaders of the ImageNet Large Scale Visual Recognition challenge and has been recognised by MIT...
Images in ImageNet are labelled using concepts in WordNet. Concepts that are easily expressed verbally, like "early", are seen as less "imageable" than nouns...
was released under the copyleft license GPL. ImageNet is an image database organized according to the WordNet hierarchy (currently only the nouns), in which...
{\displaystyle \mu _{\text{ref}}'} is the distribution of images in ImageNet and horizontally-reflected ImageNet, combined. The result of such training would be...
achieve approximately the same level of accuracy when evaluated on the ImageNetimage classification validation dataset. Model compression (e.g. quantization...
3 March 2012. Retrieved 16 June 2016. Gershgorn, Dave (26 July 2017). "ImageNet: the data that spawned the current AI boom — Quartz". qz.com. Retrieved...
by the ImageNet Large Scale Visual Recognition Challenge; this is a benchmark in object classification and detection, with millions of images and 1000...
the error rate and won the ImageNet 2014 competition, following a similar trend in large-scale speech recognition. Image classification was then extended...
The image-recognition milestone of the AlexNet designed in collaboration with his students Alex Krizhevsky and Ilya Sutskever for the ImageNet challenge...
GPU-based CNN by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the ImageNet Large Scale Visual Recognition Challenge 2012. A very deep CNN with over...
codenamed "Inception" after the film of the same name, was developed for the ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) in 2014 and released...
outperform the speed-accuracy tradeoff curve of mNASNet and MobileNetV2 on the ImageNetimage-classification dataset. FBNet accomplishes this using over 400x...
algorithms. With the GUI ImageNet Designer, no programming knowledge is required to perform operations on images. A configured ImageNet can be loaded and executed...
available (NetHunter). Official images are published by Offensive Security on their download page and are updated every quarter. NetHunter images with custom...
uncovered that large-scale image datasets commonly used to develop AI systems, including ImageNet and 80 Million Tiny Images, carried racist and misogynistic...
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