Photos | Mass Protest for Student Rights
Jamil Douglas, Jun Itoda, and Che Guevara stand amongst a crowd of 36 people holding signs and flags during a student protest in 2006. The banners and flags displayed text demanding fair treatment and opportunities for education, as the group stood united against the system.
BLIP-2 Description:
a large group of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
vehicle leisure treated workers rights made fil arr sign pure leaving che dignidad jun itoda somos student transportation inm went repression ey justicia stop grin im antes adventure answerla crowd douglas guevara performance protest flag siann grants loving activities defe jamil recreation rial child boy archa usa amnistía parade art full rekognition_c stor text marcha esti banner legaliz vemand
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
(49.17%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.37%)
failure
(-0.63%)
harmonious color
(3.78%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-25.10%)
intrusive object presence
(-7.06%)
lively color
(21.58%)
low light
(34.40%)
noise
(-3.83%)
pleasant camera tilt
(-1.72%)
pleasant composition
(-62.06%)
pleasant lighting
(1.54%)
pleasant pattern
(15.01%)
pleasant perspective
(12.60%)
pleasant post processing
(7.59%)
pleasant reflection
(0.39%)
pleasant symmetry
(0.88%)
sharply focused subject
(6.59%)
tastefully blurred
(43.82%)
well chosen subject
(3.40%)
well framed subject
(-30.96%)
well timed shot
(6.99%)
all
(4.69%)
* 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.