Photos | Student Protest Parade
Javier Aquino joins 40 people in a lively protest parade, holding up signs and waving banners. Accessories like handbags, sunglasses, and hats add to the colorful display.
BLIP-2 Description:
a large 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:
protest regime dreams javier aquino dignity no world child wait recreation flag deming free worldcantwait parade diat sign mexico struggle glasses student hat land justice www ser workers handbag crowd full text odrive wristwatch ilegal la ningun sunglasses humano es boy can't performance art stop banner bush bag accessories
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
2006-04-15T10:20:36-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.21%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.47%)
failure
(-0.54%)
harmonious color
(1.61%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-16.86%)
intrusive object presence
(-18.55%)
lively color
(15.22%)
low light
(16.97%)
noise
(-4.22%)
pleasant camera tilt
(-4.07%)
pleasant composition
(-76.03%)
pleasant lighting
(-6.26%)
pleasant pattern
(7.06%)
pleasant perspective
(-4.70%)
pleasant post processing
(2.99%)
pleasant reflection
(0.84%)
pleasant symmetry
(0.39%)
sharply focused subject
(3.27%)
tastefully blurred
(30.25%)
well chosen subject
(-3.37%)
well framed subject
(-37.70%)
well timed shot
(8.36%)
all
(-0.35%)
* 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.