Photos | Group of People Enjoying Food at an Urban Restaurant
Torey Defalco and 30 others gathered at a bustling cafeteria in Austin for a night of delicious food and lively conversation. The industrial brick backdrop and modern lighting created the perfect ambiance for a night out in the city.
BLIP-2 Description:
a group of people standing in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
architecture brick cafeteria handrail urban building fence pub food footwear lamp cow restaurant house flooring design court shoe bag city livestock austin glasses indoors factory life interior rekognition_c accessories defalco night handbag darkness cafe lighting housing torey mammal animal staircase floor hurliy crowd cattle
Detected Text
iso
1600
metering mode
5
aperture
f/3.2
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2009-06-13T23:06:56.250000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.56%)
failure
(-0.71%)
harmonious color
(2.82%)
immersiveness
(2.00%)
interaction
(1.00%)
interesting subject
(-46.36%)
intrusive object presence
(-7.69%)
lively color
(-25.20%)
low light
(91.46%)
noise
(-3.17%)
pleasant camera tilt
(-11.58%)
pleasant composition
(-69.92%)
pleasant lighting
(-47.73%)
pleasant pattern
(8.30%)
pleasant perspective
(2.97%)
pleasant post processing
(7.15%)
pleasant reflection
(0.37%)
pleasant symmetry
(2.17%)
sharply focused subject
(0.24%)
tastefully blurred
(-4.33%)
well chosen subject
(5.92%)
well framed subject
(-44.29%)
well timed shot
(7.06%)
all
(-4.66%)
* 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.