Photos | Energized Crowd at Coachella 2016
Kubra Sait, Natalia Anciso, Trevor TorDisc Jockeyman, Chen Aisen, and Rico Rodriguez, among 36 other fans, throw their hands up in excitement, as they dance to their favorite tunes at Coachella 2016 in Indio, US. The pulsing light and the spotlight contribute to the electrifying atmosphere of the Urban concert.#Concert #Crowd #NightLife
BLIP-2 Description:
a crowd of people at a concert with their hands upMetadata
Capture date:
Original Dimensions:
5760w x 3840h - (download 4k)
Usage
Dominant Color:
Location:
urban chen phone rodriguez night natalia party glasses aisen kubra sait mobile girl bag teen interior coachella necklace rico rodriguez jewelry concert lighting electronics handbag nightclub room spotlight wristwatch life sunglasses hat light rico trevor tordisc jockeyman saturday audience fun accessories anciso crowd
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/1000s
camera make
Canon
camera model
lens model
overall
(38.40%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.42%)
failure
(-0.22%)
harmonious color
(1.46%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-0.67%)
intrusive object presence
(-3.08%)
lively color
(-15.36%)
low light
(84.33%)
noise
(-2.12%)
pleasant camera tilt
(-14.33%)
pleasant composition
(-76.22%)
pleasant lighting
(-27.66%)
pleasant pattern
(7.89%)
pleasant perspective
(0.81%)
pleasant post processing
(4.24%)
pleasant reflection
(-5.83%)
pleasant symmetry
(0.54%)
sharply focused subject
(0.34%)
tastefully blurred
(-13.99%)
well chosen subject
(1.58%)
well framed subject
(-51.27%)
well timed shot
(18.76%)
all
(-3.20%)
* 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.