Photos | Metropolis March
Rigoberta Menchú and Jaya Sharma lead a crowd of 34 people through the urban streets of Metropolis, holding flags and signs in support of the Great American Boycott.
BLIP-2 Description:
a group of people holding flags and signs in a cityMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
urban flag backpack ortations legalizacion arceles repara glasses angele theatres de footwear bag jaya no stop eos crowd boadmay canon city legalización re monedas 大 reparac protest repairs american rigoberta menchú sign shoe handbag engra aids californi deportacion g los spring angbles parade sharma metropolis engraving retail po 女 great great_american_boycott olesale ins yu angeles light text banner hat 恭 traffic accessories boycott art federación california
Detected Text
iso
100
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
24mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(36.21%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.17%)
harmonious color
(-2.87%)
immersiveness
(0.59%)
interaction
(1.00%)
interesting subject
(-42.11%)
intrusive object presence
(-5.57%)
lively color
(0.70%)
low light
(1.54%)
noise
(-1.07%)
pleasant camera tilt
(-9.77%)
pleasant composition
(-78.96%)
pleasant lighting
(-27.66%)
pleasant pattern
(9.64%)
pleasant perspective
(3.77%)
pleasant post processing
(-0.54%)
pleasant reflection
(1.04%)
pleasant symmetry
(0.93%)
sharply focused subject
(0.22%)
tastefully blurred
(-0.56%)
well chosen subject
(12.25%)
well framed subject
(-59.91%)
well timed shot
(0.95%)
all
(-3.72%)
* 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.