Photos | Raising the Roof at Coachella
The energy was electric as the crowd at Coachella raised their hands to the night sky during an unforgettable concert. Photo taken by Melissa Rippon in Los Angeles, California in 2016.
BLIP-2 Description:
a crowd of people at a concert with their hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
continental thursday bracelet rippon bride ca urban fence festival eos iii baby wedding hat states outdoor s rampart blvd sky bag night sky parade friday coachella audience life mark united rekognition_c westlake jewelry + accessories night handbag april los angeles spring cheering canon lafayette macarthur melissa california concert crowd park
iso
3200
metering mode
5
aperture
f/2.8
exposure bias
1
focal length
16mm
shutter speed
1/100s
camera make
Canon
camera model
lens model
date
2016-04-15T22:17:42.480000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(37.04%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.83%)
harmonious color
(-0.52%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(17.75%)
intrusive object presence
(-14.89%)
lively color
(-21.52%)
low light
(78.13%)
noise
(-7.45%)
pleasant camera tilt
(-7.84%)
pleasant composition
(-71.39%)
pleasant lighting
(-33.76%)
pleasant pattern
(4.00%)
pleasant perspective
(1.09%)
pleasant post processing
(2.44%)
pleasant reflection
(3.34%)
pleasant symmetry
(0.32%)
sharply focused subject
(0.51%)
tastefully blurred
(-38.89%)
well chosen subject
(2.94%)
well framed subject
(-17.32%)
well timed shot
(19.27%)
all
(-3.44%)
* 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.