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The ImageNet dataset, one of the largest efforts in this space, required over 25,000 workers to annotate 14 million images for 22,000 object categories | The ImageNet dataset, one of the largest efforts in this space, required over 25,000 workers to annotate 14 million images for 22,000 object categories | ||
== Références == | |||
* [https://openai.com/blog/clip/ CLIP: Connecting Text and Images] | |||
Version du 8 novembre 2022 à 10:19
The ImageNet dataset, one of the largest efforts in this space, required over 25,000 workers to annotate 14 million images for 22,000 object categories