Photos | Mass Protest in the Metropolis

Yoshiyuki Ishihara and Fivel Stewart lead a crowd of 29 people holding up signs and flags during a protest parade in the urban city, with iconic traffic lights and banners in the background.
BLIP-2 Description:
a large group of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
切 foll flag urban eral mañana eos 〇 anana rights way transportation hat yoshiyuki ishihara hoy states road text stewart performance traffic city 位 art backbon parade amnistia glasses full ermi moy metropolis united istia banner sign tates vehicle light accessories mos general recreation votamos spring marchamos fairle canon fivel marchan generas nov protest crowd generat amigrants symbol
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
date
2006-05-01T11:18:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.26%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.44%)
harmonious color
(-0.96%)
immersiveness
(0.49%)
interaction
(1.00%)
interesting subject
(-36.25%)
intrusive object presence
(-12.96%)
lively color
(-0.66%)
low light
(30.93%)
noise
(-2.05%)
pleasant camera tilt
(-7.17%)
pleasant composition
(-73.54%)
pleasant lighting
(-22.57%)
pleasant pattern
(11.94%)
pleasant perspective
(16.74%)
pleasant post processing
(4.76%)
pleasant reflection
(-6.85%)
pleasant symmetry
(0.95%)
sharply focused subject
(1.49%)
tastefully blurred
(15.60%)
well chosen subject
(-2.15%)
well framed subject
(-49.66%)
well timed shot
(10.48%)
all
(-1.19%)
* 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.