Photos | Urban Protest
A crowd of 23 people, including Julia Makhalina and Joo Hyun-Jung, gather outside an office building in the metropolis to demonstrate for their cause. The cloudy sky and towering skyscrapers loom in the background as they hold up their banner and chant their message.
BLIP-2 Description:
a crowd of people standing in a city streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
advertisement urban backpack flag phone hyun glasses palm transportation outdoor poster mobile camera footwear bag jung sky no julia makhalina necklace tree container tead pedestrian city jewelry protest building skyscraper sign electronics shoe handbag aircraft airplane cloudy thoughts rns prayers office mort plant parade tent metropolis road vehicle architecture blue hat text light banner accessories lamppost joo luggage crowd land
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/1715s
camera make
Apple
camera model
lens model
overall
(27.34%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.82%)
failure
(-0.63%)
harmonious color
(-1.41%)
immersiveness
(0.73%)
interaction
(2.00%)
interesting subject
(-41.99%)
intrusive object presence
(-15.55%)
lively color
(2.93%)
low light
(2.44%)
noise
(-6.15%)
pleasant camera tilt
(-9.97%)
pleasant composition
(-71.97%)
pleasant lighting
(-36.45%)
pleasant pattern
(12.04%)
pleasant perspective
(-1.52%)
pleasant post processing
(-2.72%)
pleasant reflection
(-1.88%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.29%)
tastefully blurred
(-7.47%)
well chosen subject
(-18.29%)
well framed subject
(-59.86%)
well timed shot
(-0.60%)
all
(-6.46%)
* 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.