Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Hillside Bliss

Hillside Bliss

Caption

A stunning view of the lush grasslands and towering trees blanketing the Jenner hillside under a clear blue sky.

BLIP-2 Description:

a view of the hillside from the top of the hill

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Metadata

Capture date:

Monday, January 17th, 2022 at 10:50:25 AM

Original Dimensions:

3024w x 4032h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Jenner, California, United States (38.53,-123.28)

Tags

Albums

Photo Archive/2022 Photos

Places

Continental United States International Border States (Southwest) North Bay North Coast Northern California Pacific Northwest Redwood Empire San Francisco Bay Area Sonoma County Sonoma Valley Southwest West Coast Wine Country

Venues

Coast Kitchen Bar Breakfast and Brunch Restaurant Dining Restaurant Seafood Restaurant

EXIF Data:

iso

50

metering mode

5

aperture

f/1.5

focal length

6mm

latitude

38.53

longitude

-123.28

shutter speed

1/2632s

camera make

Apple

camera model

iPhone 13 Pro Max

lens model

iPhone 13 Pro Max back triple camera 5.7mm f/1.5

date

2022-01-17T10:50:26.065000-08:00

tzoffset

-28800

tzname

GMT-0800

Scores

overall (56.35%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.30%)

failure (-0.24%)

harmonious color (15.64%)

immersiveness (9.47%)

interaction (1.00%)

interesting subject (-16.69%)

intrusive object presence (-6.67%)

lively color (7.03%)

low light (0.24%)

noise (-3.61%)

pleasant camera tilt (-3.40%)

pleasant composition (28.76%)

pleasant lighting (44.14%)

pleasant pattern (1.44%)

pleasant perspective (40.21%)

pleasant post processing (9.01%)

pleasant reflection (0.29%)

pleasant symmetry (0.56%)

sharply focused subject (1.83%)

tastefully blurred (-1.61%)

well chosen subject (4.04%)

well framed subject (-6.06%)

well timed shot (-0.76%)

all (16.87%)

* 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.