Photos | Nighttime Concert Excitement
Four performers take to the stage under the bright lights and beautiful night sky, entertaining a crowd of enthusiastic music lovers. The set includes furniture, including a table, and electronics such as a monitor and LED lighting, creating an urban ambience perfect for this Coachella concert.
BLIP-2 Description:
a group of people on stage at nightChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
activities urban spotlight rock leisure music stage transportation hat musician furniture outdoor sky led hardware white club stripes indoors coachella pc life rekognition_c electronics peppers theater car vehicle screen performer table group performance musical monitor instrument night band darkness lighting laptop concert computer crowd
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/8s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-12-01T03:53:53-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(18.21%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.47%)
failure
(-7.96%)
harmonious color
(0.16%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-59.86%)
intrusive object presence
(-3.10%)
lively color
(-21.03%)
low light
(99.95%)
noise
(-15.50%)
pleasant camera tilt
(-5.51%)
pleasant composition
(-75.68%)
pleasant lighting
(-73.58%)
pleasant pattern
(1.83%)
pleasant perspective
(-1.33%)
pleasant post processing
(-0.30%)
pleasant reflection
(-0.21%)
pleasant symmetry
(0.17%)
sharply focused subject
(0.10%)
tastefully blurred
(-51.27%)
well chosen subject
(-0.08%)
well framed subject
(-44.70%)
well timed shot
(3.93%)
all
(-10.90%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.