Photos | Urban Restaurant in San Francisco
Lennie Tristano takes a peek through the window of a bustling restaurant in San Francisco, showcasing the city's vibrant street life and architecture.
BLIP-2 Description:
a restaurant with a door and a windowChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
lighting housing shelter city urban outdoors furniture lennie decor open floor hardware screen staircase home ba de cafe storefront court indoors handrail outdoor diner street pub road building sus noe architecture valley tristano night life food monitor shop 渗 kiosk interior rug metropolis painting restaurant computer flooring house design door art hat electronics lennie tristano
iso
500
metering mode
5
aperture
f/1.8
exposure bias
0.11000000000000001
focal length
4mm
latitude
37.76
longitude
-122.42
shutter speed
1/15s
camera make
Apple
camera model
date
2019-09-27T20:58:40.740000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(35.16%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.39%)
failure
(-0.51%)
harmonious color
(4.06%)
immersiveness
(1.10%)
interaction
(1.00%)
interesting subject
(-62.99%)
intrusive object presence
(-2.10%)
lively color
(3.16%)
low light
(26.78%)
noise
(-5.79%)
pleasant camera tilt
(-12.52%)
pleasant composition
(-49.83%)
pleasant lighting
(-19.08%)
pleasant pattern
(14.43%)
pleasant perspective
(0.11%)
pleasant post processing
(-1.90%)
pleasant reflection
(-8.70%)
pleasant symmetry
(1.86%)
sharply focused subject
(0.56%)
tastefully blurred
(4.86%)
well chosen subject
(-14.97%)
well framed subject
(-34.81%)
well timed shot
(4.28%)
all
(-1.85%)
* 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.