Photos | Student Protesters Rally for Change
A crowd of 27 people, including Jugraj Singh and Che Guevara, hold banners, signs and flags during a powerful protest against inequality and injustice.
BLIP-2 Description:
a group of people holding signs and flagsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
ush anthony's la pill intra protest continue activities nti toller wait jugraj student march recreation vehicle situgse legislation stop transportation world adventure wristwatch accessories sign ive performance soltera glasses al crowd name banner inte che guevara parade seller rights jdent text immigrant copri alto students unite rekognition_c leisure singh can't regime art flag hat anthony struggle
Detected Text
iso
100
metering mode
5
aperture
f/1.2
exposure bias
-0.67
focal length
85mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2006-04-15T10:20:53-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(43.12%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.29%)
failure
(-0.27%)
harmonious color
(1.97%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-3.68%)
intrusive object presence
(-5.69%)
lively color
(20.20%)
low light
(12.11%)
noise
(-1.93%)
pleasant camera tilt
(-5.16%)
pleasant composition
(-64.94%)
pleasant lighting
(-5.64%)
pleasant pattern
(7.50%)
pleasant perspective
(3.41%)
pleasant post processing
(4.43%)
pleasant reflection
(-2.41%)
pleasant symmetry
(0.59%)
sharply focused subject
(3.13%)
tastefully blurred
(4.54%)
well chosen subject
(-23.83%)
well framed subject
(-28.37%)
well timed shot
(7.31%)
all
(0.60%)
* 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.