Photos | Student Protest March
Dozens of people, including Jean-Christophe Parisot and Natalia Anciso, marched down the street carrying signs and banners protesting against land issues in 2006.
BLIP-2 Description:
a large group of people holding signs and walking down the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
architecture flag urban immigrants jean-christophe parisot building ™ footwear tomorron student ndo rights pedestrian sidewalk al hat wristwatch natalia orldcantwait road outdoor la regiml text wevote performance sky bag shoe city land street rity parade amnistia parking full today glasses metropolis path banner sign accessories anciso apply pneed recreation bush handbag walking go monthly protest de crowd march
Detected Text
iso
100
metering mode
5
aperture
f/4
exposure bias
-0.67
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-04-15T10:36:50-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.11%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.22%)
harmonious color
(-0.70%)
immersiveness
(0.98%)
interaction
(1.00%)
interesting subject
(-43.80%)
intrusive object presence
(-17.29%)
lively color
(0.33%)
low light
(11.91%)
noise
(-0.78%)
pleasant camera tilt
(-9.39%)
pleasant composition
(-86.28%)
pleasant lighting
(-23.46%)
pleasant pattern
(5.93%)
pleasant perspective
(5.98%)
pleasant post processing
(2.41%)
pleasant reflection
(1.06%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.12%)
tastefully blurred
(3.25%)
well chosen subject
(9.99%)
well framed subject
(-65.09%)
well timed shot
(10.38%)
all
(-2.95%)
* 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.