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:
flag rekognition_c recreation usa ey child rial transportation arr treated went jamil leisure marcha amnistía justicia stor activities stop crowd vemand inm leaving antes full grants protest guevara pure loving sign fil repression answerla douglas somos boy adventure grin parade esti student archa vehicle performance jun itoda che im workers rights text dignidad banner made defe siann art legaliz
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 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.