Photos | Night out with Robin Schulz and Joe Santagato
A vibrant food court in the heart of the city - Robin Schulz and Joe Santagato enjoy a meal and drinks with a lively crowd at the bar.
BLIP-2 Description:
a group of people sitting at a barChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
architecture cafeteria santagato sund necklace urban pub meal building food portrait na dish transportation hat al wristwatch restaurant furniture joe pat eat prices court bag city pottery model icing ice saturd dessert roots glasses indoors lunch candle cream ygu dining life pacífico sign bread car vehicle jewelry table accessories room modelo grace c night handbag t-shirt cafe charles plate photography robin schulz fico cup crowd undershirt
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2018-08-10T18:52:22.714000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.79%)
curation
(93.61%)
highlight visibility
(2.45%)
behavioral
(70.68%)
failure
(-0.22%)
harmonious color
(-1.66%)
immersiveness
(0.12%)
interaction
(4.00%)
interesting subject
(-1.90%)
intrusive object presence
(-9.59%)
lively color
(7.40%)
low light
(18.99%)
noise
(-2.54%)
pleasant camera tilt
(-9.13%)
pleasant composition
(-72.80%)
pleasant lighting
(-22.62%)
pleasant pattern
(8.79%)
pleasant perspective
(-10.52%)
pleasant post processing
(3.95%)
pleasant reflection
(-3.64%)
pleasant symmetry
(0.29%)
sharply focused subject
(1.03%)
tastefully blurred
(-4.72%)
well chosen subject
(-35.28%)
well framed subject
(-39.87%)
well timed shot
(0.06%)
all
(-5.12%)
* 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.