Photos | Pre-Coachella Protest Parade
RuPaul, Yokozuna, and Shay Astar lead a group of 27 people carrying signs down the street in a protest for art and recreation, surrounded by the metropolis and a blue sky.
BLIP-2 Description:
a group of people holding signs and walking down the streetChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
activities headgear jeans pants flag profits urban leisure building pre footwear ompassion astar transportation hat wristwatch flowers outdoor handwriting text performance sky shoe bag city traffic explotation art document shay parade no yokozuna planet water coachella life metropolis sunglasses banner sign stay vehicle light accessories adventure recreation handbag rupaul protest crowd dap
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
date
2016-12-10T14:25:50.220000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.91%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.78%)
failure
(-0.59%)
harmonious color
(-1.86%)
immersiveness
(0.56%)
interaction
(1.00%)
interesting subject
(-53.32%)
intrusive object presence
(-7.45%)
lively color
(0.16%)
low light
(14.21%)
noise
(-2.37%)
pleasant camera tilt
(-9.98%)
pleasant composition
(-83.01%)
pleasant lighting
(-43.24%)
pleasant pattern
(5.62%)
pleasant perspective
(-5.38%)
pleasant post processing
(2.83%)
pleasant reflection
(0.47%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.29%)
tastefully blurred
(-3.79%)
well chosen subject
(-10.24%)
well framed subject
(-64.21%)
well timed shot
(1.96%)
all
(-7.36%)
* 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.