Photos | Rocking the Stage at Coachella
Beatrix of the Netherlands, Fat Mike, and Gloria Talbott join the crowd at Empire Polo Club for an electrifying performance during Coachella Weekend 2. The spotlight shines on the band as they rock the stage with an incredible show.
BLIP-2 Description:
a crowd of people at a concert with a band on stageChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
group activities spotlight urban rock leisure music speaker footwear stage arts hat performing crowd musician fat mike performance shoe bag gloria weekend art netherlands indoors coachella audience life helmet rekognition_c electronics theater performer light accessories musical instrument night talbott recreation band lighting beatrix day concert handbag
iso
3200
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
date
2013-04-19T23:20:09.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(48.78%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.47%)
failure
(-0.81%)
harmonious color
(6.46%)
immersiveness
(1.98%)
interaction
(1.00%)
interesting subject
(-13.90%)
intrusive object presence
(-7.74%)
lively color
(-17.50%)
low light
(95.75%)
noise
(-7.08%)
pleasant camera tilt
(-10.61%)
pleasant composition
(-36.08%)
pleasant lighting
(-14.20%)
pleasant pattern
(9.08%)
pleasant perspective
(4.54%)
pleasant post processing
(2.58%)
pleasant reflection
(1.21%)
pleasant symmetry
(0.51%)
sharply focused subject
(0.42%)
tastefully blurred
(-6.39%)
well chosen subject
(-8.12%)
well framed subject
(-34.23%)
well timed shot
(7.30%)
all
(1.48%)
* 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.