Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Concrete Building with Lush Tree

Concrete Building with Lush Tree

Caption

A magnificent concrete building sitting amidst nature's beauty, stands tall with a grand palm tree before it.

BLIP-2 Description:

the building is made of concrete and has a large tree in front of it

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Metadata

Capture date:

Sunday, January 29th, 2023 at 2:25:47 PM

Original Dimensions:

3024w x 4032h - (download 4k)

Usage

Usage and Licensing

Location:

San Francisco, California, United States (37.77,-122.47)

Tags

sky architecture tree city plant office building slate vegetation interior indoors outdoors building fern nature summer leaf outdoor palm design cloudy

Albums

Photo Archive/2023 Photos

Places

Golden Gate Park de Young museum Continental United States International Border States (Southwest) Northern California San Francisco San Francisco Bay Area San Francisco County Southwest The Peninsula West Coast

Venues

EXIF Data:

iso

80

metering mode

5

aperture

f/1.78

focal length

7mm

latitude

37.77

longitude

-122.47

shutter speed

1/3155s

camera make

Apple

camera model

iPhone 14 Pro Max

lens model

iPhone 14 Pro Max back triple camera 6.86mm f/1.78

Apple Photos ML Scores

overall (61.87%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.39%)

failure (-0.12%)

harmonious color (10.04%)

immersiveness (3.83%)

interaction (2.00%)

interesting subject (22.08%)

intrusive object presence (-2.69%)

lively color (0.80%)

low light (30.52%)

noise (-1.12%)

pleasant camera tilt (-0.42%)

pleasant composition (38.60%)

pleasant lighting (26.05%)

pleasant pattern (15.26%)

pleasant perspective (48.49%)

pleasant post processing (9.69%)

pleasant reflection (3.33%)

pleasant symmetry (2.93%)

sharply focused subject (2.22%)

tastefully blurred (0.27%)

well chosen subject (11.87%)

well framed subject (14.15%)

well timed shot (3.06%)

all (17.43%)

* WARNING: The title and caption of this image were generated with AI (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.