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
cream fico ygu room sund urban furniture city joe grace c model dining bread undershirt car vehicle candle t-shirt eat cafe transportation court wristwatch prices indoors accessories bag sign photography ice lunch jewelry modelo dish pub plate night pacífico al glasses cafeteria building architecture crowd roots food robin schulz icing portrait table cup restaurant pottery meal life na handbag santagato charles saturd hat dessert pat necklace
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.