Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Fence-side Frenzy

Fence-side Frenzy

Caption

A crowd of people gather on a fence to get a glimpse of their favorite musicians at Coachella 2017.

BLIP-2 Description:

a crowd of people standing on a fence watching a concert

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Metadata

Capture date:

Sunday, April 16th, 2017 at 6:42:26 PM

Original Dimensions:

5472w x 3648h - (download 4k)

Usage

Usage and Licensing

Location:

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

Tags

bracelet mobile stage ring wristwatch hat outdoor balloon bag land art glasses coachella sphere electronics jewelry accessories handbag phone concert crowd

Albums

Photo Archive/2017/Coachella 2017/10/DCIM/100CANON 100CANON

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

1600

metering mode

5

aperture

f/2.8

focal length

16mm

shutter speed

1/320s

camera make

Canon

camera model

lens model

EF16-35mm f/2.8L II USM

date

2017-04-16T18:42:26.040000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (33.50%)

curation (50.00%)

highlight visibility (4.36%)

behavioral (70.52%)

failure (-0.29%)

harmonious color (-1.15%)

immersiveness (0.32%)

interaction (1.00%)

interesting subject (-22.72%)

intrusive object presence (-30.13%)

lively color (-12.79%)

low light (33.79%)

noise (-3.98%)

pleasant camera tilt (-10.21%)

pleasant composition (-86.18%)

pleasant lighting (-36.99%)

pleasant pattern (4.91%)

pleasant perspective (-1.02%)

pleasant post processing (-2.66%)

pleasant reflection (-1.82%)

pleasant symmetry (0.56%)

sharply focused subject (0.98%)

tastefully blurred (0.27%)

well chosen subject (-27.76%)

well framed subject (-15.37%)

well timed shot (20.23%)

all (-6.48%)

* 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.