Photos | Protesters Rally for Change
A large crowd of 52 people, including Brijesh Damani, Sukanya Parida, and Alfonso Bedoya, take to the streets holding signs and flags during the 2006 parade for social justice and equality.
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:
votes brijesh damani flag urban footwear peace vota hat todos hoy road outdoor cast text performance million shoe bag city traffic land street art hi hr 冬 alfonso bedoya parade ma no glasses poster metropolis banner sign contra block sukanya light accessories recreation tring handbag parida marchamos el home margi troops protest advertisement crowd lote
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2006-05-01T11:20:25-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.30%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.17%)
harmonious color
(-2.81%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-13.57%)
intrusive object presence
(-8.42%)
lively color
(-1.72%)
low light
(28.71%)
noise
(-2.20%)
pleasant camera tilt
(-9.89%)
pleasant composition
(-83.06%)
pleasant lighting
(-22.34%)
pleasant pattern
(7.23%)
pleasant perspective
(5.62%)
pleasant post processing
(0.88%)
pleasant reflection
(1.37%)
pleasant symmetry
(0.59%)
sharply focused subject
(0.27%)
tastefully blurred
(-6.52%)
well chosen subject
(-5.76%)
well framed subject
(-58.89%)
well timed shot
(19.34%)
all
(-2.51%)
* 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.