Photos | Protest March in 2006
Valerie Vaz, João Gordo, and Myrlie Evers-Williams join a large crowd of 50 people in a protest march, holding signs and demanding change on the streets of the metropolis.
BLIP-2 Description:
a large group of people in white shirts and holding signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
votan boy ho flag urban marchamo mañana footwear child ร votam manan mañai transportation hat todos muro hoy road outdoor text performance co shoe bag city traffic land street art valerie vaz parade gordo myrlie evers-williams belt metropolis dign helmet contra sign banner car vehicle light accessories amos joão recreation votamos handbag marchamos el puma marchai protest crowd tana
Detected Text
flash fired
true
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2006-05-01T11:20:10-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(35.23%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.29%)
harmonious color
(-2.02%)
immersiveness
(0.39%)
interaction
(1.00%)
interesting subject
(-36.30%)
intrusive object presence
(-6.71%)
lively color
(-1.09%)
low light
(16.60%)
noise
(-1.95%)
pleasant camera tilt
(-10.57%)
pleasant composition
(-88.13%)
pleasant lighting
(-29.91%)
pleasant pattern
(9.38%)
pleasant perspective
(-1.45%)
pleasant post processing
(-0.94%)
pleasant reflection
(-0.15%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.24%)
tastefully blurred
(-6.51%)
well chosen subject
(1.81%)
well framed subject
(-68.21%)
well timed shot
(13.96%)
all
(-4.47%)
* 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.