Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Hat-titude on Stage

Hat-titude on Stage

Caption

A stylish man sings his heart out into the microphone while wearing a fedora at Coachella 2009.

BLIP-2 Description:

a man in a hat singing into a microphone

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Metadata

Capture date:

Sunday, April 19th, 2009 at 5:06:31 PM

Original Dimensions:

4368w x 2912h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

recreation solo headgear stage coachella device entertainer part performance singing fedora performer concert crowd sun microphone hat electrical

Albums

Photo Archive/2009/coachella_2009_4_19 coachella_2009_4_19

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

1600

metering mode

5

aperture

f/3.5

exposure bias

0.32999999999999996

focal length

135mm

shutter speed

1/3200s

camera make

Canon

camera model

lens model

Canon EF 70-200mm f/2.8L IS

date

2009-04-19T17:06:31-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (67.82%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.48%)

failure (-0.22%)

harmonious color (3.20%)

immersiveness (0.22%)

interaction (1.00%)

interesting subject (17.98%)

intrusive object presence (-5.64%)

lively color (-4.16%)

low light (45.31%)

noise (-1.78%)

pleasant camera tilt (-1.73%)

pleasant composition (27.73%)

pleasant lighting (8.91%)

pleasant pattern (2.49%)

pleasant perspective (19.62%)

pleasant post processing (5.83%)

pleasant reflection (-1.48%)

pleasant symmetry (0.49%)

sharply focused subject (32.06%)

tastefully blurred (76.90%)

well chosen subject (12.46%)

well framed subject (83.94%)

well timed shot (8.90%)

all (14.14%)

* 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.