Photos | Pre-Coachella Protest March
Yokozuna leads a crowd of 26 people holding signs and chanting down the streets of Los Angeles in a pre-Coachella protest against government policies.
BLIP-2 Description:
a large 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:
Location:
bracelet activities headgear necklace flag profits urban leisure building pre cap agua transportation luggage hat flowers outdoor energy handwriting text performance container sky city bag traffic cloudy document vida ame uater now parade no glasses ation planet water coachella yokozuna life metropolis sion sunglasses banner sign jewelry vehicle light accessories adventure broad recreation handbag es protest anity crowd
Detected Text
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
date
2016-12-10T14:25:49-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(32.06%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.83%)
failure
(-0.59%)
harmonious color
(-2.12%)
immersiveness
(0.54%)
interaction
(1.00%)
interesting subject
(-37.21%)
intrusive object presence
(-6.76%)
lively color
(5.73%)
low light
(13.09%)
noise
(-2.69%)
pleasant camera tilt
(-8.48%)
pleasant composition
(-74.61%)
pleasant lighting
(-32.35%)
pleasant pattern
(9.59%)
pleasant perspective
(-0.52%)
pleasant post processing
(0.09%)
pleasant reflection
(-2.22%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.51%)
tastefully blurred
(-2.33%)
well chosen subject
(-20.87%)
well framed subject
(-58.69%)
well timed shot
(2.43%)
all
(-5.43%)
* 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.