Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Crowd Goes Wild at Coachella Concert

Crowd Goes Wild at Coachella Concert

Caption

Fans at Coachella 2017 throw their hands up in the air and let loose during a high-energy performance.

BLIP-2 Description:

a crowd of people at a concert with their hands up

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Metadata

Capture date:

Saturday, April 15th, 2017 at 11:11:47 PM

Original Dimensions:

5472w x 3648h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Indio, California, United States (33.68,-116.24)

Tags

bracelet necklace urban arts hat performing party art fun club coachella life interior jewelry accessories room nightclub night concert crowd

Albums

Photo Archive/2017/Coachella 2017/All All

Places

Empire Polo Club Coachella Valley Continental United States Great Basin Greater Los Angeles Area Inland Empire International Border States (Southwest) Riverside County Southern California Southwest Sun Belt West Coast

Venues

EXIF Data:

iso

1600

metering mode

5

aperture

f/2.8

focal length

16mm

shutter speed

1/60s

camera make

Canon

camera model

lens model

EF16-35mm f/2.8L II USM

date

2017-04-15T23:11:47-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (47.05%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.51%)

failure (-0.51%)

harmonious color (7.31%)

immersiveness (0.39%)

interaction (1.00%)

interesting subject (40.72%)

intrusive object presence (-8.89%)

lively color (-28.20%)

low light (90.33%)

noise (-5.96%)

pleasant camera tilt (-4.75%)

pleasant composition (-45.21%)

pleasant lighting (-2.44%)

pleasant pattern (4.54%)

pleasant perspective (6.59%)

pleasant post processing (-14.09%)

pleasant reflection (-0.12%)

pleasant symmetry (1.29%)

sharply focused subject (2.08%)

tastefully blurred (-2.44%)

well chosen subject (-16.19%)

well framed subject (9.20%)

well timed shot (27.86%)

all (1.44%)

* 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.