Photos | Rocking the Stage at Coachella
A man with a microphone takes center stage, performing to a massive crowd under the bright lights of the Coachella music festival in 2008.
BLIP-2 Description:
a man on stage with a microphoneChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
bracelet group cree cicchino activities spotlight urban rock leisure music mobile footwear stage hat crowd performing arts musician furniture guitarist performance shoe bag art desk hall glasses indoors coachella audience pc belt life electronics theater jewelry performer light table accessories auditorium musical instrument night recreation band speakers lighting laptop part phone guitar back concert computer handbag
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2008-04-27T21:45:42-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.22%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.39%)
failure
(-0.88%)
harmonious color
(-0.38%)
immersiveness
(0.95%)
interaction
(1.00%)
interesting subject
(-31.74%)
intrusive object presence
(-16.82%)
lively color
(-30.35%)
low light
(97.27%)
noise
(-6.79%)
pleasant camera tilt
(-10.10%)
pleasant composition
(-83.64%)
pleasant lighting
(-52.20%)
pleasant pattern
(3.32%)
pleasant perspective
(-9.42%)
pleasant post processing
(-0.65%)
pleasant reflection
(-1.28%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.24%)
tastefully blurred
(-10.46%)
well chosen subject
(-17.49%)
well framed subject
(-38.82%)
well timed shot
(4.65%)
all
(-10.23%)
* 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.