Photos | Unity in the City

Sgt. Slaughter and Priscilla Lopes-Schliep lead a crowd of 44 people holding signs, flags, and banners in a protest parade amidst the bustling metropolis. The urban lights and traffic signals serve as a backdrop for their message of solidarity and recreation.
BLIP-2 Description:
a large group of people holding signs and flags in a cityMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
palac wi ignit pignity lopes watts flag urban nich rights rightch way egal leg hoy legalization road one supp text performance traffic nity city art waits nith zation legalizatio ma parade full war metropolis banner sign priscilla sgt. slaughter light ri respect respe schliep recreation spect acts st dignity protest crowd righ symbol
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-05-01T13:05:46-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.05%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.46%)
failure
(-0.49%)
harmonious color
(-2.97%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-58.79%)
intrusive object presence
(-50.98%)
lively color
(-6.73%)
low light
(6.32%)
noise
(-1.22%)
pleasant camera tilt
(-12.04%)
pleasant composition
(-90.63%)
pleasant lighting
(-29.35%)
pleasant pattern
(3.20%)
pleasant perspective
(-11.48%)
pleasant post processing
(3.67%)
pleasant reflection
(-4.14%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.42%)
tastefully blurred
(1.65%)
well chosen subject
(8.68%)
well framed subject
(-57.37%)
well timed shot
(1.04%)
all
(-7.35%)
* 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.