Photos | Pre-Coachella Protest March in the Metropolis
Yokozuna and Chandra Wilson lead a crowd of 27 people down Tarmac Road amidst the bustling cityscape, carrying signs and banners to make their voices heard. The blue sky and outdoor path provide a vivid backdrop for their performance, as they advocate for art, recreation, and the rights of all people.
BLIP-2 Description:
a group of people walking down the street with signsMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
crossing urban flag street recreation stand jeans glasses chandra outdoor resper footwear bag path standin sky coachella crowd pedestrian crosswalk city protest lands wilson sign shoe handbag tarmac sacred yokozuna pants rock parade metropolis road performance blue hat text pre light traffic flowers banner zebra accessories walking art land
iso
400
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/6400s
camera make
Canon
camera model
lens model
overall
(34.45%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.44%)
harmonious color
(0.02%)
immersiveness
(1.00%)
interaction
(1.00%)
interesting subject
(-1.59%)
intrusive object presence
(-9.47%)
lively color
(2.16%)
low light
(3.61%)
noise
(-0.76%)
pleasant camera tilt
(-9.56%)
pleasant composition
(-61.77%)
pleasant lighting
(-28.54%)
pleasant pattern
(11.33%)
pleasant perspective
(7.06%)
pleasant post processing
(-2.88%)
pleasant reflection
(-3.32%)
pleasant symmetry
(1.25%)
sharply focused subject
(0.22%)
tastefully blurred
(-22.62%)
well chosen subject
(-10.29%)
well framed subject
(-33.30%)
well timed shot
(3.85%)
all
(-3.14%)
* 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.