Photos | Hands Up in the Spotlight at Coachella 2016
Kaleigh Fratkin joins the electrifying crowd at the Empire Polo Club during a heart-pumping music festival experience.
BLIP-2 Description:
a crowd of people at a music festival with their hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
lighting room urban monroe glove kaleigh sunday fratkin recreation polo indio coachella spotlight wristwatch st accessories flare rock jewelry performance states iii night glasses footwear valley crowd club mark concert audience april party interior light canon empire nightclub eos life united california rekognition_c bracelet stage arts hat art performing ca spring fun shoe
iso
1600
metering mode
5
aperture
f/2.8
exposure bias
1.33
focal length
16mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2016-04-17T18:44:44.680000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.52%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.37%)
failure
(-1.83%)
harmonious color
(-1.48%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(-34.23%)
intrusive object presence
(-19.56%)
lively color
(-29.59%)
low light
(98.05%)
noise
(-4.32%)
pleasant camera tilt
(-15.14%)
pleasant composition
(-81.49%)
pleasant lighting
(-66.55%)
pleasant pattern
(6.01%)
pleasant perspective
(-13.21%)
pleasant post processing
(-4.63%)
pleasant reflection
(-8.43%)
pleasant symmetry
(0.34%)
sharply focused subject
(0.10%)
tastefully blurred
(-25.29%)
well chosen subject
(1.85%)
well framed subject
(-40.89%)
well timed shot
(25.83%)
all
(-9.86%)
* 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.