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:
roger yuan protest city tanana urban dignit recreation car vehicle symbol cast bring ana transportation busca marchanos wristwatch bag ome sign accessories helmet traffic outdoor performance street mañana road se tro archam smriti footwear now million crowd banner hoy lana parade greei light text metropolis ai amos handbag vote marchamos mos land pea hat art flag mehra shoe
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.