Photos | Group Performance in Robes at Coachella Concert
Boris KoDisc Jockeyoe and a group of 13 people in robes perform on stage at Coachella during the Saturday night concert. The crowd is captured in the spotlight, showcasing the urban clothing and footwear styles of the attendees.
BLIP-2 Description:
a group of people in robes on stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
art urban instrument recreation night glasses music performing arts boris kodisc jockeyoe musician footwear leisure interior coachella musical theater activities theatre dancing band concert performer stage lighting glove shoe electronics room dance pose spotlight rock wristwatch performance life group hat light saturday accessories indoors crowd
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
overall
(54.64%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.43%)
failure
(-0.29%)
harmonious color
(13.02%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(32.96%)
intrusive object presence
(-22.22%)
lively color
(-16.70%)
low light
(99.46%)
noise
(-2.42%)
pleasant camera tilt
(-7.38%)
pleasant composition
(-68.95%)
pleasant lighting
(-13.64%)
pleasant pattern
(3.42%)
pleasant perspective
(7.69%)
pleasant post processing
(3.02%)
pleasant reflection
(-3.98%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.34%)
tastefully blurred
(-10.24%)
well chosen subject
(-10.50%)
well framed subject
(-22.03%)
well timed shot
(32.86%)
all
(1.93%)
* 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.