Photos | Green-Lit Performance
Lil' C and his group give an electrifying concert on stage with green lights shining down on them at the 2013 Coachella Weekend 2 music festival.
BLIP-2 Description:
two men on stage at a concert with green lightsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
lighting instrument speaker urban furniture desk activities band device recreation jeans day musician weekend coachella spotlight lil' c accessories performing performer rock performance glasses footwear crowd musical instrument guitarist musical guitar concert music light table string entertainer electrical speakers rock concert stage arts leisure hat art headphones microphone group performance electronics shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
-1.67
focal length
23mm
shutter speed
1/5000s
camera make
Canon
camera model
lens model
date
2013-04-20T16:42:43.730000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(36.77%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.54%)
harmonious color
(1.12%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-40.77%)
intrusive object presence
(-12.62%)
lively color
(-22.09%)
low light
(99.90%)
noise
(-3.61%)
pleasant camera tilt
(-14.59%)
pleasant composition
(-73.34%)
pleasant lighting
(-45.02%)
pleasant pattern
(5.54%)
pleasant perspective
(4.00%)
pleasant post processing
(1.98%)
pleasant reflection
(-0.59%)
pleasant symmetry
(0.78%)
sharply focused subject
(0.24%)
tastefully blurred
(-4.23%)
well chosen subject
(-17.70%)
well framed subject
(-29.10%)
well timed shot
(2.95%)
all
(-6.66%)
* 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.