Photos | Student Protesters Rally Against Injustice in 2006

A large crowd gathers holding signs and flags, including one with the iconic image of Che Guevara, as they march through the city demanding change.
BLIP-2 Description:
a large group of people holding signs and flagsMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
endo humano org lexica r flag tratam urban immigrants norkers sacar student wait gobierne rights transportation al ser regime furniture one text performance co city ningun traffic alto odrive grants art ia bench answerla amnis parade amnistia no full glasses rig metropolis bus digwrty mnist banner sign vehicle workers light erman accessories tal recreation bush es ул el che guevara protest de crowd
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
date
2006-04-15T10:20:21-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.88%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.40%)
failure
(-0.37%)
harmonious color
(0.86%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-13.68%)
intrusive object presence
(-12.60%)
lively color
(13.23%)
low light
(20.24%)
noise
(-3.08%)
pleasant camera tilt
(-3.91%)
pleasant composition
(-68.07%)
pleasant lighting
(0.97%)
pleasant pattern
(14.79%)
pleasant perspective
(-1.43%)
pleasant post processing
(7.76%)
pleasant reflection
(-1.37%)
pleasant symmetry
(1.07%)
sharply focused subject
(4.74%)
tastefully blurred
(46.53%)
well chosen subject
(3.37%)
well framed subject
(-35.01%)
well timed shot
(17.86%)
all
(3.40%)
* 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.