Photos | Busy Lobby Gathering

Caspar Ying-wai Tsui, Jon Schnepp, Ratul Puri and a crowd of over 55 people gather in a large lobby filled with backpacks, luggage and handbags. Accessories and electronics can be seen as the urban audience prepares for a seminar or lecture.
BLIP-2 Description:
a crowd of people in a large lobbyMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture g boy urban ground classroom cd building bassano lecture child bellini halls transportation luggage caspar ying-wai tsui veronese venetian ratul puri container bag art ballrooms schnepp hardware titian jon hall glasses indoors audience airport school sands electronics theater backpack screen accessories room monitor auditorium handbag seminar expo computer crowd painting cinema
Detected Text
iso
320
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2018-11-26T14:57:44.787000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(31.79%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.49%)
harmonious color
(4.66%)
immersiveness
(1.03%)
interaction
(1.00%)
interesting subject
(-46.68%)
intrusive object presence
(-5.64%)
lively color
(-0.01%)
low light
(11.89%)
noise
(-4.00%)
pleasant camera tilt
(-8.33%)
pleasant composition
(-68.65%)
pleasant lighting
(-23.67%)
pleasant pattern
(10.42%)
pleasant perspective
(-4.10%)
pleasant post processing
(-0.39%)
pleasant reflection
(0.40%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.27%)
tastefully blurred
(-2.45%)
well chosen subject
(-12.82%)
well framed subject
(-51.86%)
well timed shot
(6.51%)
all
(-3.52%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.