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| author | adamhrv <adam@ahprojects.com> | 2019-05-17 12:32:00 +0200 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-05-17 12:32:00 +0200 |
| commit | 84b286e1bd85feba12174a2a480d2be404e7b9c5 (patch) | |
| tree | 4317828715117cd733e9bacd9d9c2acca68c3835 /site/content/pages/datasets/msceleb/index.md | |
| parent | 5cf3ee3bbabecbf9669b5846ebdd01f5773af607 (diff) | |
fix text
Diffstat (limited to 'site/content/pages/datasets/msceleb/index.md')
| -rw-r--r-- | site/content/pages/datasets/msceleb/index.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/site/content/pages/datasets/msceleb/index.md b/site/content/pages/datasets/msceleb/index.md index 58bacf1e..8623767b 100644 --- a/site/content/pages/datasets/msceleb/index.md +++ b/site/content/pages/datasets/msceleb/index.md @@ -3,7 +3,7 @@ status: published title: Microsoft Celeb Dataset desc: Microsoft Celeb 1M is a dataset of 10 million face images harvested from the Internet -subdesc: The MS Celeb dataset includes 100K people and a target list of 1 million individuals +subdesc: The MS Celeb dataset includes 100,000 people and a target list of 1,000,000 individuals slug: msceleb cssclass: dataset image: assets/background.jpg @@ -82,7 +82,7 @@ Until now, that data has been freely harvested from the Internet and packaged in Microsoft didn't only create MS Celeb for other researchers to use, they also used it internally. In a publicly available 2017 Microsoft Research project called "[One-shot Face Recognition by Promoting Underrepresented Classes](https://www.microsoft.com/en-us/research/publication/one-shot-face-recognition-promoting-underrepresented-classes/)," Microsoft leveraged the MS Celeb dataset to build their algorithms and advertise the results. Interestingly, Microsoft's [corporate version](https://www.microsoft.com/en-us/research/publication/one-shot-face-recognition-promoting-underrepresented-classes/) of the paper does not mention they used the MS Celeb datset, but the [open-access version](https://www.semanticscholar.org/paper/One-shot-Face-Recognition-by-Promoting-Classes-Guo/6cacda04a541d251e8221d70ac61fda88fb61a70) published on arxiv.org explicitly mentions that Microsoft Research introspected their algorithms "on the MS-Celeb-1M low-shot learning benchmark task." -We suggest that if Microsoft Research wants to make biometric data publicly available for surveillance research and development, they should start with releasing their researchers' own biometric data, instead of scraping the Internet for journalists, artists, writers, actors, athletes, musicians, and academics. +If Microsoft Research wants to make biometric data publicly available for surveillance research and development, perhaps they should start with releasing their employees own biometric data instead of scraping the Internet for journalists, artists, writers, actors, athletes, musicians, and academics. A publicly available face recognition dataset of all Microsoft Researcher employees would be a welcome replacement. {% include 'dashboard.html' %} |
