Photos | Induction Series Signage at San Francisco Restaurant
A poster, two business cards, and a QR code accompany the induction series sign displayed in a San Francisco restaurant.
BLIP-2 Description:
a sign for the induction series is displayed in a restaurantMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
ness health food playful take elevated cocktails pick sign business jewish california coronavirus symbol modern center order thoughtful public new homage classic poster off discount vibrant concepts incubator classics online jun series qr van card argentinian advertisement civic neighbor uruguayan code text inventive comfort paper hospitality sigov flavors department twist korean american favorites four
Detected Text
10 100 100v 35 american argentinian classics cocktails concepts california classic comfort discount department elevated flavors favorites food inventive incubator jun jewish korean n10 neighbor ness order pick public playful series thoughtful twist uruguayan van a and at coronavirus four health homage hospitality modern new of off on online sigov take to up vibrant with
iso
1000
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.78
longitude
-122.42
shutter speed
1/30s
camera make
Apple
camera model
overall
(11.40%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.12%)
failure
(-0.54%)
harmonious color
(0.29%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-77.00%)
intrusive object presence
(-7.79%)
lively color
(-9.64%)
low light
(5.83%)
noise
(-11.11%)
pleasant camera tilt
(-6.91%)
pleasant composition
(-29.22%)
pleasant lighting
(-33.18%)
pleasant pattern
(3.44%)
pleasant perspective
(-5.30%)
pleasant post processing
(1.28%)
pleasant reflection
(-6.83%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.71%)
tastefully blurred
(-0.62%)
well chosen subject
(-14.11%)
well framed subject
(3.90%)
well timed shot
(3.34%)
all
(-5.22%)
* WARNING: The title and caption of this image were generated with AI (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.