Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Man giving water to thirsty Coachella crowd

Man giving water to thirsty Coachella crowd

Caption

This man offers relief in the desert heat at Coachella 2017, quenching the thirst of a grateful crowd.

BLIP-2 Description:

a man is giving water to a crowd

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Metadata

Capture date:

Sunday, April 16th, 2017 at 4:20:41 PM

Original Dimensions:

5760w x 3840h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

coachella baseball eyeglasses hat equipment bracelet glasses optical cap audience accessories jewelry headgear crowd part

Albums

Photo Archive/2017/Coachella 2017/09/DCIM/100EOS5D 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

800

metering mode

5

aperture

f/2.8

exposure bias

0.32999999999999996

focal length

190mm

shutter speed

1/8000s

camera make

Canon

camera model

Canon EOS 5D Mark III

lens model

EF70-200mm f/2.8L IS USM

Apple Photos ML Scores

overall (50.44%)

curation (50.00%)

highlight visibility (4.51%)

behavioral (90.72%)

failure (-0.32%)

harmonious color (1.57%)

immersiveness (0.24%)

interaction (1.00%)

interesting subject (-0.59%)

intrusive object presence (-11.33%)

lively color (9.77%)

low light (2.73%)

noise (-2.61%)

pleasant camera tilt (0.97%)

pleasant composition (-49.54%)

pleasant lighting (-3.31%)

pleasant pattern (1.39%)

pleasant perspective (6.65%)

pleasant post processing (-0.03%)

pleasant reflection (1.07%)

pleasant symmetry (0.10%)

sharply focused subject (6.47%)

tastefully blurred (58.79%)

well chosen subject (6.89%)

well framed subject (8.37%)

well timed shot (6.05%)

all (3.16%)

* 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.