Photos | Patriotic Gathering in the Heart of Metropolis
A lively crowd of 36 people hold American flags in front of a towering office building adorned with palm trees and lampposts. Despite the cloudy sky, the energy of the performance and recreation in the urban setting is palpable.
BLIP-2 Description:
a large group of people holding american flags in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2336w x 3504h - (download 4k)
Usage
Dominant Color:
machine wheel city urban paul gonzales wear recreation car vehicle tie sky construction plant tree lamppost transportation downtown formal bag accessories area tower traffic outdoor performance road glasses building footwear architecture crowd skyscraper palm office light metropolis handbag cloudy hat art flag square shoe
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2006-04-10T18:16:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.43%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-0.27%)
harmonious color
(-1.84%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-20.26%)
intrusive object presence
(-14.75%)
lively color
(-10.00%)
low light
(13.57%)
noise
(-1.56%)
pleasant camera tilt
(-12.57%)
pleasant composition
(-66.21%)
pleasant lighting
(-37.65%)
pleasant pattern
(13.84%)
pleasant perspective
(15.63%)
pleasant post processing
(5.98%)
pleasant reflection
(-0.41%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.24%)
tastefully blurred
(-1.72%)
well chosen subject
(12.88%)
well framed subject
(-34.79%)
well timed shot
(5.27%)
all
(-2.33%)
* 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.