Photos | Yokozuna Leads Pre-Coachella Protest March

Yokozuna and a crowd of 28 people walk down the street, carrying signs and a banner as they protest before the Coachella festival. The blue sky and city buildings serve as the backdrop for this outdoor performance of recreation and protest.
BLIP-2 Description:
a group of people walking down the street holding signsMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
jeans pants necklace urban building pre lands footwear pedestrian transportation hat road outdoor flowers sacred text performance sky shoe city bag traffic land street mith parade yokozuna glasses coachella metropolis banner sign jewelry later vehicle light accessories recreation handbag walking protest stand crowd
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
date
2016-12-10T14:25:02-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.41%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.69%)
failure
(-0.66%)
harmonious color
(-1.60%)
immersiveness
(0.76%)
interaction
(1.00%)
interesting subject
(-43.55%)
intrusive object presence
(-27.51%)
lively color
(3.22%)
low light
(11.65%)
noise
(-2.10%)
pleasant camera tilt
(-13.72%)
pleasant composition
(-82.86%)
pleasant lighting
(-37.04%)
pleasant pattern
(7.84%)
pleasant perspective
(-7.97%)
pleasant post processing
(0.47%)
pleasant reflection
(-0.22%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.20%)
tastefully blurred
(-20.18%)
well chosen subject
(-18.10%)
well framed subject
(-58.15%)
well timed shot
(-4.32%)
all
(-8.18%)
* 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.