Photos | The Electric Night

Dylan Minnette and Stephanie Wood join the roaring crowd to watch a spellbinding performance under the starry skies at FYF Fest in Los Angeles.
BLIP-2 Description:
a crowd of people watching a concert at nightMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
continental bracelet summer empowerment ca spotlight urban rock north county bullock speaker iii eos stage history arts exposition park area hat performing states outdoor performance sky bag wood night sky art hall glasses indoors audience angeles life mark united electronics theater los jewelry light congress accessories auditorium united states night recreation handbag august fyf stephanie canon lighting natural dylan minnette california concert crowd museums
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/500s
camera make
Canon
camera model
lens model
date
2015-08-23T20:32:27.280000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(38.94%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.28%)
failure
(-0.76%)
harmonious color
(1.43%)
immersiveness
(0.44%)
interaction
(1.00%)
interesting subject
(-44.63%)
intrusive object presence
(-7.23%)
lively color
(-17.48%)
low light
(99.27%)
noise
(-5.86%)
pleasant camera tilt
(-4.69%)
pleasant composition
(-80.03%)
pleasant lighting
(-39.36%)
pleasant pattern
(4.10%)
pleasant perspective
(6.25%)
pleasant post processing
(1.74%)
pleasant reflection
(1.86%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.17%)
tastefully blurred
(-5.18%)
well chosen subject
(12.00%)
well framed subject
(-61.91%)
well timed shot
(17.31%)
all
(-3.65%)
* 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.