Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Lone Masked Figure in a Sea of Sunglasses

Lone Masked Figure in a Sea of Sunglasses

Caption

Amid the celebratory crowd at Coachella, one person stands out with their protective mask.

BLIP-2 Description:

a crowd of people at a music festival with one person wearing a mask

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Metadata

Capture date:

Sunday, April 16th, 2017 at 4:34:55 PM

Original Dimensions:

5472w x 3648h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

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

Tags

urban bracelet party glasses child baby girl coachella necklace equipment optical jewelry celebrating wristwatch cheering sunglasses hat fun accessories 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

33mm

shutter speed

1/250s

camera make

Canon

camera model

lens model

EF16-35mm f/2.8L II USM

Apple Photos ML Scores

overall (43.58%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.49%)

failure (-0.22%)

harmonious color (-2.70%)

immersiveness (0.12%)

interaction (1.00%)

interesting subject (34.89%)

intrusive object presence (-10.35%)

lively color (-8.25%)

low light (29.17%)

noise (-3.59%)

pleasant camera tilt (-1.07%)

pleasant composition (-40.82%)

pleasant lighting (-37.21%)

pleasant pattern (3.83%)

pleasant perspective (2.90%)

pleasant post processing (-4.51%)

pleasant reflection (-2.06%)

pleasant symmetry (0.34%)

sharply focused subject (2.49%)

tastefully blurred (7.72%)

well chosen subject (-13.07%)

well framed subject (11.05%)

well timed shot (24.39%)

all (-1.17%)

* 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.