Photos | May Day Rally Signs
David Choquehuanca (left) and Kollegah (right) join a crowd of 26 people holding signs during the May Day protest parade in 2008. The blue sky and urban metropolis can be seen in the background.
BLIP-2 Description:
people holding signsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
agar re activities necklace immigrat egali legalize urban leisure kollegah transportation hat leg la outdoor mayday_rally text immigration sky city rades legaline document legaliz nigration egalize now parade blue glasses audience migration metropolis salize david choquehuanca banner rally sign car jewelry vehicle accessories adventure spring bl galiz galize mayday reform saliz form lize protest crowd
Detected Text
iso
100
metering mode
5
aperture
f/7.1
exposure bias
-0.67
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2008-05-01T15:18:27-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(40.01%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.22%)
harmonious color
(3.54%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-14.92%)
intrusive object presence
(-3.49%)
lively color
(18.92%)
low light
(62.06%)
noise
(-0.81%)
pleasant camera tilt
(-7.04%)
pleasant composition
(-45.68%)
pleasant lighting
(-22.81%)
pleasant pattern
(22.09%)
pleasant perspective
(4.11%)
pleasant post processing
(1.54%)
pleasant reflection
(1.62%)
pleasant symmetry
(1.00%)
sharply focused subject
(0.95%)
tastefully blurred
(-4.70%)
well chosen subject
(-14.95%)
well framed subject
(-15.08%)
well timed shot
(-0.56%)
all
(0.34%)
* 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.