Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Coachella Concert Crowd

Coachella Concert Crowd

Caption

A sea of people, hats, and glasses gathered under a cloudy sky for the Coachella music festival in 2009.

BLIP-2 Description:

a crowd of people at a music festival

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Metadata

Capture date:

Sunday, April 19th, 2009 at 5:59:29 PM

Original Dimensions:

5616w x 3744h - (download 4k)

Usage

Usage and Licensing

Location:

Indio, California, United States (33.68,-116.22)

Tags

crowd handbag glasses headgear audience outdoor coachella urban sky container bag shoe hat concert footwear cloudy accessories luggage

Albums

Photo Archive/2009/coachella_2009_4_17 coachella_2009_4_17

Places

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

3200

metering mode

5

aperture

f/4.5

focal length

16mm

shutter speed

1/2000s

camera make

Canon

camera model

Canon EOS 5D Mark II

lens model

Canon EF 16-35mm f/2.8L II USM

date

2009-04-19T17:59:29.370000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (42.36%)

curation (50.00%)

highlight visibility (4.51%)

behavioral (90.77%)

failure (-0.49%)

harmonious color (0.37%)

immersiveness (1.71%)

interaction (1.00%)

interesting subject (-7.01%)

intrusive object presence (-9.28%)

lively color (-3.64%)

low light (3.00%)

noise (-1.83%)

pleasant camera tilt (-7.51%)

pleasant composition (-30.83%)

pleasant lighting (-18.30%)

pleasant pattern (14.48%)

pleasant perspective (21.67%)

pleasant post processing (-1.93%)

pleasant reflection (-0.70%)

pleasant symmetry (0.68%)

sharply focused subject (1.22%)

tastefully blurred (-5.25%)

well chosen subject (-6.41%)

well framed subject (-34.35%)

well timed shot (7.76%)

all (2.31%)

* 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.