🚨New dataset just dropped🚨 Introducing Places in the Wild: 67,000 RAW-format photographs (45 mpix) densely sampled from 810 places (260 basic-level categories). This is 11x the number of pixels in ImageNet! Preprint is here: arxiv.org/abs/2606.02481 1/
Who's Who of AI
Michelle Greene
Why they matter
Researcher with public evidence across AI research.
- AI signals
- 0 past 30d
- Sources
- 0 distinct domains
- Discusiones
- 4 past 30d
- Latest signal
- —
Cognitive scientist at Barnard College; visual categorization; EEG; eye movements; machine learning; childless cat fae; will ask to see a picture of your pet. Opinions my own. They/she. 🏳️🌈
What they're sharing
Places in the Wild: A Large, High-Resolution RAW Photograph Dataset for Ecologically Valid Vision Research arxiv.org
Articles & links
Their network
In Michelle Greene's orbit
Center = Michelle Greene. Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.
Are you Michelle Greene? Show it.
Add the Who’s Who of AI badge to your site or bio. It links back to this profile.
Markdown: [](https://aiweekly.co/whos-who/person/mgreenephd-bsky-social)