Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Duck Delight

Duck Delight

Caption

A beautifully presented plate with a succulent duck and fresh greens, a perfect meal for any food lover.

BLIP-2 Description:

a plate with a duck on it and some greens

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Metadata

Capture date:

Friday, June 3rd, 2016 at 9:56:20 PM

Original Dimensions:

3024w x 4032h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Black Raspberry

Location:

Los Angeles, California, United States (34.06,-118.25)

Tags

dish spinach mutton cutlery spoon meat beef tenderloin food presentation tableware plate seasoning meal loaf food utensil vegetable

Albums

Photo Archive/2016 Photos

Places

Walt Disney Concert Hall 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

1000

metering mode

5

aperture

f/2.2

focal length

4mm

latitude

34.06

longitude

-118.25

shutter speed

1/15s

camera make

Apple

camera model

lens model

iPhone 6s back camera 4.15mm f/2.2

date

2016-06-03T21:56:20.310000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Apple Photos ML Scores

overall (31.20%)

curation (50.00%)

highlight visibility (3.89%)

behavioral (10.13%)

failure (-0.71%)

harmonious color (-1.24%)

immersiveness (0.15%)

interaction (1.00%)

interesting subject (-25.59%)

intrusive object presence (-4.37%)

lively color (4.39%)

low light (28.52%)

noise (-2.86%)

pleasant camera tilt (-6.12%)

pleasant composition (-25.95%)

pleasant lighting (-15.70%)

pleasant pattern (3.64%)

pleasant perspective (-7.08%)

pleasant post processing (2.50%)

pleasant reflection (-2.81%)

pleasant symmetry (0.27%)

sharply focused subject (3.61%)

tastefully blurred (2.80%)

well chosen subject (-11.89%)

well framed subject (32.37%)

well timed shot (5.99%)

all (-0.31%)

* 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.