Photos | Spotlight on the Red-Shirted Guitarist
A musician takes center stage at the 2003 Coachella music festival, entertaining a crowd of five with his electric guitar and LED-lit performance.
BLIP-2 Description:
a man in red shirt playing guitar on stageChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
group spotlight urban rock music footwear stage music band arts transportation microphone performing musician furniture entertainer guitarist performance shoe art led white stripes coachella deejay peppers electronics car vehicle performer light table musical instrument recreation darkness lighting device guitar concert leisure activities crowd electrical
metering mode
5
aperture
f/2.5
focal length
6mm
shutter speed
1/8s
camera make
CASIO COMPUTER CO.,LTD.
camera model
date
2002-12-01T03:53:59-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.94%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.33%)
failure
(-2.10%)
harmonious color
(0.65%)
immersiveness
(0.78%)
interaction
(1.00%)
interesting subject
(-42.99%)
intrusive object presence
(-4.13%)
lively color
(-6.12%)
low light
(99.85%)
noise
(-27.47%)
pleasant camera tilt
(-8.65%)
pleasant composition
(-56.01%)
pleasant lighting
(-56.84%)
pleasant pattern
(6.32%)
pleasant perspective
(-3.80%)
pleasant post processing
(5.29%)
pleasant reflection
(-0.08%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.59%)
tastefully blurred
(12.40%)
well chosen subject
(-12.49%)
well framed subject
(-33.96%)
well timed shot
(-3.36%)
all
(-6.28%)
* 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.