Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Netted in Style

Netted in Style

Caption

A person stands confidently in front of a net at Coachella, sporting trendy shoes and clothing.

BLIP-2 Description:

a person standing in front of a net

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Metadata

Capture date:

Sunday, April 20th, 2014 at 10:45:32 PM

Original Dimensions:

5760w x 3840h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

straw tool sunday pants net fence footwear outdoors field tennis shoe glove shoes coachella nature sport sneaker zoo countryside mammal animal racket

Albums

Photo Archive/2014/Coachella 2014 2/Sunday 4 20 20 100EOS5D

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

6400

metering mode

5

aperture

f/2.8

focal length

16mm

shutter speed

1/6s

camera make

Canon

camera model

Canon EOS 5D Mark III

lens model

EF16-35mm f/2.8L II USM

date

2014-04-20T22:45:32.330000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (46.09%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.45%)

failure (-0.85%)

harmonious color (4.90%)

immersiveness (3.71%)

interaction (1.00%)

interesting subject (-35.89%)

intrusive object presence (-7.79%)

lively color (22.77%)

low light (29.10%)

noise (-4.44%)

pleasant camera tilt (-2.48%)

pleasant composition (-30.66%)

pleasant lighting (10.83%)

pleasant pattern (30.13%)

pleasant perspective (-0.81%)

pleasant post processing (6.43%)

pleasant reflection (5.76%)

pleasant symmetry (0.46%)

sharply focused subject (17.50%)

tastefully blurred (48.90%)

well chosen subject (-15.52%)

well framed subject (-18.55%)

well timed shot (0.88%)

all (7.17%)

* 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.