Photos | Sidewalk Cafe Hangout
Sandra Aguilar and Mackenzie Crook relax outside a restaurant during the 2008 Artwalk, surrounded by urban architecture and the buzz of the city.
BLIP-2 Description:
a group of people sitting on the sidewalk outside of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
lighting instrument path machine artwalk_may walkway city urban container hydrant floor intersection vehicle car fire sky symbol plant cafe bicycle transportation st indoors bag accessories sidewalk sign pharmaka traffic outdoor street jewelry road footwear cafeteria building architecture musical flagstone guitar mackenzie trash automobile light sandra aguilar metropolis crook artwalk restaurant flooring handbag land town hat urban area neighborhood necklace shoe
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/30s
camera make
Canon
camera model
lens model
date
2008-05-08T19:59:06-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.99%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.20%)
harmonious color
(4.04%)
immersiveness
(1.07%)
interaction
(1.00%)
interesting subject
(-18.66%)
intrusive object presence
(-8.89%)
lively color
(-21.12%)
low light
(68.99%)
noise
(-2.76%)
pleasant camera tilt
(-9.73%)
pleasant composition
(-70.90%)
pleasant lighting
(-11.22%)
pleasant pattern
(6.93%)
pleasant perspective
(14.86%)
pleasant post processing
(-1.49%)
pleasant reflection
(-0.19%)
pleasant symmetry
(2.03%)
sharply focused subject
(0.46%)
tastefully blurred
(-1.90%)
well chosen subject
(1.06%)
well framed subject
(-46.24%)
well timed shot
(8.75%)
all
(-0.76%)
* 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.