Photos | American Pride Protest

Hundreds of people holding American flags and signs gather together in protest, expressing their pride for their country and beliefs. Gouher Sultana, Nuzhat Parween, and Sahana Bajracharya are among the many individuals present at the demonstration.
BLIP-2 Description:
a large crowd of people holding american flags and signsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
activities headgear flag immigrants leisure quien child footwear student mass rights transportation luggage hat girl outdoor parween text performance container shoe land art nuzhat gouher sultana parade sahana bajracharya glasses full punlted banner sign tor car vehicle accessories adventure recreation stop che protest guevara de crowd march maidie norman
Detected Text
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/320s
camera make
Canon
camera model
lens model
date
2006-04-15T10:48:38-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.72%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.62%)
failure
(-0.42%)
harmonious color
(-1.39%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-75.10%)
intrusive object presence
(-17.02%)
lively color
(2.35%)
low light
(13.43%)
noise
(-1.22%)
pleasant camera tilt
(-9.33%)
pleasant composition
(-96.48%)
pleasant lighting
(-46.83%)
pleasant pattern
(2.22%)
pleasant perspective
(-2.03%)
pleasant post processing
(4.45%)
pleasant reflection
(0.61%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.15%)
tastefully blurred
(-27.00%)
well chosen subject
(30.91%)
well framed subject
(-76.27%)
well timed shot
(10.27%)
all
(-6.55%)
* 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.