Photos | Protest March through Metropolis
A crowd of 41 people, including Roger Yuan and Smriti Mehra, walk down the city street holding signs and banners during a protest parade in May 2006.
BLIP-2 Description:
a large group of people walking down a street holding signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
pea greei flag archam urban lana bring dignit mañana footwear transportation hat wristwatch hoy road outdoor cast text performance million bag shoe city traffic land street art tanana ai now parade ome marchanos metropolis helmet banner sign car vehicle light smriti accessories mos amos recreation vote handbag mehra marchamos roger yuan se busca ana protest crowd tro symbol
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
2006-05-01T11:20:19-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(34.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.44%)
failure
(-0.20%)
harmonious color
(-0.44%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-33.86%)
intrusive object presence
(-7.81%)
lively color
(8.23%)
low light
(11.79%)
noise
(-3.25%)
pleasant camera tilt
(-10.83%)
pleasant composition
(-87.50%)
pleasant lighting
(-27.27%)
pleasant pattern
(8.86%)
pleasant perspective
(0.47%)
pleasant post processing
(3.38%)
pleasant reflection
(1.84%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.22%)
tastefully blurred
(-4.57%)
well chosen subject
(-6.50%)
well framed subject
(-72.17%)
well timed shot
(8.64%)
all
(-3.88%)
* 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.