Photos | A Vibrant Parade Through the Metropolis
Maria Aragon leads a lively crowd through busy city streets during a festive parade in 2006. The colorful clothing and accessories, along with the towering buildings and bustling traffic, create a dynamic urban scene that captures the energy of the city.
BLIP-2 Description:
a large group of people walking down a streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
urban flag street recreation outdoor de dave fur tipp footwear window bag crowd veiores city wholesale protest shop building andrew sign shoe handbag cold metrd oro elefante mond pain area parade metropolis wristwatch road garantizado performance tel architecture leaselante hat text light traffic importado precios mayoreo banner maria aragon accessories art dr land
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
overall
(33.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.22%)
harmonious color
(-0.59%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-62.40%)
intrusive object presence
(-8.52%)
lively color
(-2.89%)
low light
(4.74%)
noise
(-1.25%)
pleasant camera tilt
(-11.25%)
pleasant composition
(-83.79%)
pleasant lighting
(-26.29%)
pleasant pattern
(10.64%)
pleasant perspective
(9.39%)
pleasant post processing
(3.68%)
pleasant reflection
(-0.12%)
pleasant symmetry
(0.71%)
sharply focused subject
(0.15%)
tastefully blurred
(-6.31%)
well chosen subject
(13.44%)
well framed subject
(-67.72%)
well timed shot
(1.25%)
all
(-3.52%)
* 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.