Photos | Che Guevara and a Crowd Declare Their Protest in the City
A group of 27 people hold signs and flags on the streets of the urban metropolis, rallying for their cause with powerful art and impactful banners. Two traffic lights illuminate their struggle against the backdrop of the city's hustle and bustle, while Che Guevara's face and symbol loom large over the protest.
BLIP-2 Description:
a group of people holding signs and flags in a cityMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
accessories city urban vehicle tiowel workers exigimos camaras road sign 添 handbag 量 se ~ transportation way one stop metropolis crowd hat imos flag protest hoy nana traffic audie puede no hr amnistía hhitacdi art votr parade che guevara bag text light sony car si banner video symbol borders glasses
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/1.2
exposure bias
-2
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
overall
(39.31%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.88%)
harmonious color
(2.00%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-30.47%)
intrusive object presence
(-19.38%)
lively color
(10.66%)
low light
(7.47%)
noise
(-3.25%)
pleasant camera tilt
(-7.97%)
pleasant composition
(-69.63%)
pleasant lighting
(-5.75%)
pleasant pattern
(15.50%)
pleasant perspective
(1.39%)
pleasant post processing
(3.84%)
pleasant reflection
(-3.42%)
pleasant symmetry
(1.00%)
sharply focused subject
(1.46%)
tastefully blurred
(18.60%)
well chosen subject
(-4.16%)
well framed subject
(-38.70%)
well timed shot
(1.51%)
all
(-0.48%)
* 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.