Photos | Rocking the Crowd
Jaya Sharma takes center stage with a microphone and light stick at Coachella 2014 while Rushmi Chakravarthi and Devika Vaidya cheer her on amidst a sea of music lovers.
BLIP-2 Description:
a woman at a concert with a microphone and a light stickChronologically 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:
lighting speaker room urban furniture rushmi theater laptop seat hardware device part devika vaidya coachella back pc indoors accessories chakravarthi jewelry auditorium night footwear crowd club purple friday concert audience interior nightclub electrical computer jaya sharma life rock concert bracelet stage mouse hat microphone electronics shoe
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2000-01-01T00:00:05.750000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(43.02%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.66%)
failure
(-0.81%)
harmonious color
(3.96%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-29.17%)
intrusive object presence
(-17.60%)
lively color
(-26.81%)
low light
(98.68%)
noise
(-5.81%)
pleasant camera tilt
(-7.50%)
pleasant composition
(-83.54%)
pleasant lighting
(-41.63%)
pleasant pattern
(3.22%)
pleasant perspective
(-4.35%)
pleasant post processing
(1.58%)
pleasant reflection
(3.58%)
pleasant symmetry
(0.44%)
sharply focused subject
(0.63%)
tastefully blurred
(1.09%)
well chosen subject
(-10.51%)
well framed subject
(-21.66%)
well timed shot
(2.70%)
all
(-6.74%)
* 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.