AI ChronicleAI 纪年 Full timeline →

Research breakthrough · curated entry

The ImageNet dataset is published

ImageNet: A Large-Scale Hierarchical Image Database

Date
June 2009
Category
Research breakthrough
Organization / Model
Princeton University
Evidence
1 source · 1 evidence family

Fei-Fei Li's team released the ImageNet paper, assembling labelled images across twenty thousand categories. It supplied the data foundation for the AlexNet breakthrough three years later.

Curator's note: Cross-checked against the official ImageNet paper PDF.

Curated sources · 1

  1. Official announcement · CVPR 20092009-06-01

    ImageNet: A Large-Scale Hierarchical Image Database

    image-net.org

Cite this page

This page is a curated static snapshot and can be cited directly. Preferred format GB/T 7714—2025 (electronic resource [EB/OL]); the other 5 styles open below, together with the machine-readable files.

GB/T 7714—2025 (electronic resource [EB/OL])

AI 纪年. ImageNet 数据集论文发表，为视觉突破奠基[EB/OL]. (2009-06)[2026-11-03]. https://aihist.net/e/imagenet-2009.html.

APA 7 · American Psychological Association

AI 纪年. (2009, June). ImageNet 数据集论文发表，为视觉突破奠基 [Web page]. https://aihist.net/e/imagenet-2009.html

MLA 9 · Modern Language Association

"ImageNet 数据集论文发表，为视觉突破奠基." AI 纪年, June 2009, aihist.net/e/imagenet-2009.html. Accessed 3 Nov. 2026.

Chicago 17 · notes-bibliography

AI 纪年. "ImageNet 数据集论文发表，为视觉突破奠基." Published June 2009. Accessed Nov. 3, 2026. https://aihist.net/e/imagenet-2009.html.

IEEE · citation-reference list

"ImageNet 数据集论文发表，为视觉突破奠基," AI 纪年, June 2009. [Online]. Available: https://aihist.net/e/imagenet-2009.html. [Accessed: 3 Nov. 2026].

ACM · author-date variant

AI 纪年. June 2009. ImageNet 数据集论文发表，为视觉突破奠基. Retrieved November 3, 2026 from https://aihist.net/e/imagenet-2009.html.

All six styles come from one template and can be compared word for word. [引用日期], Accessed, urldate and Y2 all carry this page's build date, 2026-11-03 — a static page is an immutable snapshot, so substitute the date you actually consulted it. The address in every style is the archive's canonical page: this English page translates the same snapshot, and the work keeps its name, so one record cites both. For one-click copying use the same entry in the timeline, which takes the day you opened it. Expand the other styles before printing.