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:
architecture sandra aguilar cafeteria necklace hydrant neighborhood urban plant building footwear flagstone transportation sidewalk hat walkway trash restaurant road outdoor intersection flooring sky container city shoe bag traffic land street fire machine indoors bicycle artwalk metropolis path sign car vehicle jewelry light crook accessories musical instrument mackenzie pharmaka urban area cafe town lighting st artwalk_may automobile guitar floor handbag symbol
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.