ImageNet Dataset

An ImageNet Dataset is a image dataset that is organized according to a WordNet hierarchy.

• AKA: ImageNet Database Set.
• Context:
  • Available online: http://image-net.org/download-imageurls
  • It can be used as a training, a validation and a test datasets in a ImageNet Benchmark Task.
  • …
• Example(s):
  • List of all image URLs of Fall 2011 Release,
  • List of all image URLs of Winter 2011 Release,
  • List of all image URLs of Spring 2010 Release,
  • List of all image URLs of Fall 2009 Release.
  • …
• Counter-Example(s):
  • MS COCO Dataset.
• See: Computer Vision, ImageNet Large Scale Visual Recognition Challenge (ILSVRC), Joint COCO and LVIS Recognition Challenge Workshop at ECCV 2020, Automatic Image Description Generation Task, Image Captions Generation Task, Neural Machine Translation, Natural Language Generation, Training Dataset, Test Dataset, Validation Dataset.

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References

2020

• (ImageNet, 2020) ⇒ http://image-net.org , Retrieved: 2020-12-12.
  • QUOTE: 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. Currently we have an average of over five hundred images per node. We hope ImageNet will become a useful resource for researchers, educators, students and all of you who share our passion for pictures.

2015

• (Russakovsky et al., 2015) ⇒ Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei. (2015). “ImageNet Large Scale Visual Recognition Challenge.” In: International Journal of Computer Vision (IJCV).

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