(Small detail: the first 100 hits for ceilings are all _interesting_ ceilings? Nothing like the kind of ceilings usually encountered on a video chat app?)

If you ended up using the ceilings uploaded to your app directly from your users, it might be possible that there wasn't any better solution than the one you came up with.

What is a good tool to search it without 64gb of free memory?

  tag="${1}"
  shift 1
  curl -fsSL https://battle.shawwn.com/sdc/f100m/yfcc100m_dataset.json | jq '{user_tags, machine_tags, description, title, item_download_url, item_url}' -c | egrep -i "\"($tag)\"" "$@"

Here's curl -fsSL https://battle.shawwn.com/sdc/f100m/yfcc100m_dataset.json | head -n 1, which should give you all the info about the structure. Or most of it.

  {"date_taken": "2013-08-10 11:05:54.0", "item_farm_identifier": 3, "item_url": "http://www.flickr.com/photos/9315487@N04/9497940823/", "user_tags": [], "title": "IMG_7216", "item_extension_original": "jpg", "latitude": null, "user_nickname": "meowelk", "date_uploaded": 1376370010, "accuracy": null, "machine_tags": [], "item_server_identifier": 2856, "description": null, "item_secret_original": "15f4257122", "user_nsid": "9315487@N04", "license_name": "Attribution-NonCommercial-ShareAlike License", "capture_device": "Canon EOS 7D", "item_marker": false, "item_id": 9497940823, "longitude": null, "item_download_url": "http://farm3.staticflickr.com/2856/9497940823_0c0d854111.jpg", "license_url": "http://creativecommons.org/licenses/by-nc-sa/2.0/", "item_secret": "0c0d854111"}

FWIW, the full ceiling search finished with 9,325 results. Here's the first 1k.

https://cdn.gather.town/storage.googleapis.com/gather-town.a...

We downloaded a subset of 3 million images, which is apparently 379.77 GiB. So a linear extrapolation would be (100/3*379.77) = ~12,659 GiB for the full 100m images.

12TB really isn't too bad. It's massive, yes, but imagenet 21k is 1.2TB.