Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Coachella 2009: Crowd Watching Concert on Large Screen

Coachella 2009: Crowd Watching Concert on Large Screen

Caption

The excited audience gathers under the cloudy blue sky to watch the Coachella 2009 concert on the large outdoor screen.

BLIP-2 Description:

a crowd of people watching a concert on a large screen

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Metadata

Capture date:

Sunday, April 19th, 2009 at 5:54:10 PM

Original Dimensions:

5616w x 3744h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Jewellery White

Location:

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

Tags

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

1/8000s

camera make

Canon

camera model

Canon EOS 5D Mark II

lens model

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

date

2009-04-19T17:54:10.090000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (33.40%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.56%)

failure (-0.39%)

harmonious color (-0.49%)

immersiveness (0.68%)

interaction (1.00%)

interesting subject (-50.24%)

intrusive object presence (-9.16%)

lively color (-18.42%)

low light (13.23%)

noise (-1.44%)

pleasant camera tilt (-15.08%)

pleasant composition (-83.30%)

pleasant lighting (-58.84%)

pleasant pattern (4.69%)

pleasant perspective (-2.74%)

pleasant post processing (4.44%)

pleasant reflection (-2.84%)

pleasant symmetry (0.42%)

sharply focused subject (0.07%)

tastefully blurred (-8.22%)

well chosen subject (13.10%)

well framed subject (-39.06%)

well timed shot (2.33%)

all (-8.23%)

* 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.