Photos | Patriotic Protest
Gouher Sultana, Priscilla Lopes-Schliep, and Valerie Adams join a large crowd of 48 people holding American flags and signs during a protest in the urban metropolis on May 1, 2006.
BLIP-2 Description:
a large group of people holding american flags and signsChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
org boy lopes flag urban immigrants child oreña valerie adams rights american transportation hat anay text performance traffic city fill art gouher sultana answerla parade amnistia no full glasses metropolis stopping banner sign priscilla vehicle light stoppin schliep accessories recreation protest crowd
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
2006-05-01T13:02:22-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.47%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.44%)
harmonious color
(-3.56%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-28.44%)
intrusive object presence
(-25.51%)
lively color
(3.49%)
low light
(14.09%)
noise
(-1.66%)
pleasant camera tilt
(-9.99%)
pleasant composition
(-77.54%)
pleasant lighting
(-31.05%)
pleasant pattern
(5.71%)
pleasant perspective
(-2.57%)
pleasant post processing
(0.02%)
pleasant reflection
(-2.20%)
pleasant symmetry
(0.49%)
sharply focused subject
(2.03%)
tastefully blurred
(32.01%)
well chosen subject
(-8.27%)
well framed subject
(-36.06%)
well timed shot
(13.43%)
all
(-4.32%)
* 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.