Photos | Metropolis March
Cyril Richardson and a crowd of 25 people hold signs outside The Broad in downtown Los Angeles during a pre-Coachella protest against the city's urban development. The striking blue sky and towering city buildings create a backdrop for their powerful message.
BLIP-2 Description:
a large group of people holding signs in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Location:
architecture vith jeans pants urban building pre footwear pedestrian transportation sidewalk area jater road outdoor flowers text sky profit city bag acre shoe land tarmac street cyril richardson resper parade glasses planet coachella bicycle metropolis path banner sign car vehicle accessories office handbag walking sae protest advertisement stand crowd
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2016-12-10T14:24:30.890000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.03%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.70%)
failure
(-0.44%)
harmonious color
(2.90%)
immersiveness
(1.17%)
interaction
(1.00%)
interesting subject
(-41.87%)
intrusive object presence
(-2.59%)
lively color
(2.43%)
low light
(13.06%)
noise
(-0.66%)
pleasant camera tilt
(-9.23%)
pleasant composition
(-74.27%)
pleasant lighting
(-41.53%)
pleasant pattern
(13.79%)
pleasant perspective
(6.88%)
pleasant post processing
(2.78%)
pleasant reflection
(-3.81%)
pleasant symmetry
(0.66%)
sharply focused subject
(0.15%)
tastefully blurred
(-10.89%)
well chosen subject
(-0.89%)
well framed subject
(-49.46%)
well timed shot
(2.73%)
all
(-4.24%)
* 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.