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  2. ImageNet: A large-scale hierarchical image database

     
  3. ImageNet

  4. ImageNet: A large-scale hierarchical image database

    WEBJun 20, 2009 · 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 …

  5. ImageNet: a Large-Scale Hierarchical Image …

    WEBJun 1, 2009 · This paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3.2 million images in total. We show that ImageNet is much larger in scale and...

  6. ImageNet

  7. People also ask
    What is ImageNet?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.
    Is ImageNet a large-scale hierarchical image database?Deng, Jia, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. "Imagenet: A large-scale hierarchical image database." In 2009 IEEE conference on computer vision and pattern recognition, pp. 248-255.
    How can ImageNet help you build an accurate large-scale database?Constructing an accurate large-scale database is no easy task. In ImageNet, the data was collected by querying several image search engines per synset and then verified by global users leveraging the services of Amazon Mechanical Turk to reach a predetermined confidence score threshold.
    What is image dataset?Image dataset is a pivotal resource for vision research. We introduce here the preview of a new dataset called “ImageNet”, a large-scale ontology of images built upon the backbone of the WordNet structure.
    How accurate is ImageNet?This paper offers a detailed analysis of ImageNet in its current state: 12 subtrees with 5247 synsets and 3.2 million images in total. We show that ImageNet is much larger in scale and diversity and much more accurate than the current image datasets. Constructing such a large-scale database is a challenging task.
    Why does IMA-genet have a strong bias?This is mainly due to the high availability of images for these categories. Fig. 6 has shown that even the largest datasets today have a strong bias in their coverage of different types of objects. Ima-geNet, on the other hand, contains a large number of images for nearly all object classes including rare ones.
  8. ImageNet: A large-scale hierarchical image database - IEEE …

  9. [1409.0575] ImageNet Large Scale Visual Recognition Challenge

  10. ImageNet - Wikipedia

  11. 2009-imagenet-a-large-scale-hierarchical-image-database.md

  12. ImageNet: a Large-Scale Hierarchical Image Database | Azmarie …

  13. ImageNet: Constructing a large-scale image database

  14. ImageNet: A large-scale hierarchical image database - Semantic …

  15. ImageNet Dataset | Papers With Code

  16. "ImageNet: A large-scale hierarchical image database." - dblp

  17. A Dataset and a Convolutional Model for Iconography …

  18. Towards privacy preserved document image classification: a ...

  19. STAR: Scale-wise Text-to-image generation via Auto-Regressive ...

  20. STAR: Scale-wise Text-to-image generation via Auto-Regressive ...

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