Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Well-suited in Los Angeles

Well-suited in Los Angeles

Caption

A happy man shows off his blazer and tie while wearing a well-fitted suit in Los Angeles.

BLIP-2 Description:

man wearing a suit

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Metadata

Capture date:

Friday, October 16th, 2015 at 5:31:38 PM

Original Dimensions:

3840w x 5760h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Los Angeles, California, United States (34.05,-118.25)

Tags

sleeve tie formal overcoat portrait jacket dimples fashion shirt coat politicon long wear suit accessories blazer diego photography smile happy

Albums

Photo Archive/2015/politicon_and_diego_1/100EOS5D 100EOS5D

Places

Downtown Continental United States Greater Los Angeles Area International Border States (Southwest) Los Angeles County Santa Clarita Valley Southern California Southwest Sun Belt Tech Coast West Coast

Venues

EXIF Data:

iso

800

metering mode

5

aperture

f/3.2

focal length

70mm

shutter speed

1/500s

camera make

Canon

camera model

Canon EOS 5D Mark III

lens model

EF24-70mm f/2.8L USM

date

2015-10-16T17:31:38.490000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (74.76%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.40%)

failure (-0.12%)

harmonious color (7.78%)

immersiveness (0.17%)

interaction (1.00%)

interesting subject (75.63%)

intrusive object presence (-4.17%)

lively color (7.07%)

low light (53.96%)

noise (-3.32%)

pleasant camera tilt (-0.82%)

pleasant composition (27.20%)

pleasant lighting (26.66%)

pleasant pattern (4.64%)

pleasant perspective (16.53%)

pleasant post processing (17.10%)

pleasant reflection (-0.86%)

pleasant symmetry (0.59%)

sharply focused subject (25.59%)

tastefully blurred (70.65%)

well chosen subject (52.00%)

well framed subject (77.20%)

well timed shot (12.72%)

all (19.14%)

* 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.