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:
lighting instrument urban furniture activities theater band laptop hardware vehicle screen car sky musician led coachella stripes transportation spotlight pc indoors performer rock outdoor night crowd musical club monitor white concert peppers music table computer life rekognition_c stage leisure hat darkness group performance electronics
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.