Photos | Hands Up in the Night Sky
A crowd of 20 people, including Diego Gilberte, Finn Cole, Maurice Golden, Vani Kapoor, and Brian Bloom, raise their hands in excitement during a rock concert at Coachella weekend 1 in 2013. The urban backdrop and outdoor lighting add to the electric atmosphere.
BLIP-2 Description:
a crowd of people at a concert with their hands upChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
kapoor bracelet cole urban rock mobile eos ring hat outdoor sky party city weekend ii glove fun club glasses coachella audience maurice golden metropolis life mark electronics finn jewelry accessories vani brian bloom night april spring canon lighting phone concert coachellasaturday crowd diego gilberte
iso
4000
metering mode
2
aperture
f/2.8
exposure bias
1.67
focal length
16mm
shutter speed
1/20s
camera make
Canon
camera model
lens model
date
2013-04-14T00:39:02.950000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(31.08%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.54%)
failure
(-0.54%)
harmonious color
(3.41%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-25.93%)
intrusive object presence
(-27.64%)
lively color
(-29.10%)
low light
(97.61%)
noise
(-3.37%)
pleasant camera tilt
(-8.94%)
pleasant composition
(-81.84%)
pleasant lighting
(-68.99%)
pleasant pattern
(3.25%)
pleasant perspective
(2.00%)
pleasant post processing
(1.05%)
pleasant reflection
(0.08%)
pleasant symmetry
(0.42%)
sharply focused subject
(0.15%)
tastefully blurred
(-6.37%)
well chosen subject
(10.25%)
well framed subject
(-30.93%)
well timed shot
(1.44%)
all
(-9.43%)
* 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.