Photos | Student Protest in Metropolis
Che Guevara and Kemio join a crowd of 37 people walking down a street in Metropolis, holding signs and banners while protesting for their land rights. The urban scene is filled with 10 different types of shoes, 2 handbags, and 4 jeans alongside vibrant road signs and traffic lights.
BLIP-2 Description:
a large crowd of people walking down a street with signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
accessories city urban land repre shoe workers rights road sign wristwatch handbag el ri jeans xing puedel se student kemio trata stop public metropolis defend crowd town immigrants ningun hat protest es flag pedestrian traffic pants puede palace ped humano street footwear amnistía parade che guevara area full bag outdoor text ser trempo light si banner → symbol st anos
Detected Text
iso
100
metering mode
5
aperture
f/1.2
exposure bias
-0.67
focal length
85mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
overall
(20.67%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.66%)
harmonious color
(0.35%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-77.54%)
intrusive object presence
(-3.56%)
lively color
(-0.79%)
low light
(7.25%)
noise
(-0.71%)
pleasant camera tilt
(-6.69%)
pleasant composition
(-88.57%)
pleasant lighting
(-26.32%)
pleasant pattern
(6.62%)
pleasant perspective
(6.83%)
pleasant post processing
(2.88%)
pleasant reflection
(1.35%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.12%)
tastefully blurred
(-51.76%)
well chosen subject
(12.78%)
well framed subject
(-77.64%)
well timed shot
(-10.53%)
all
(-6.16%)
* 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 with AI (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.