Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | The Heavenly Misty Sky

The Heavenly Misty Sky

Caption

A breathtaking view of the misty clouds from an airplane window over Coalinga, California.

BLIP-2 Description:

a view from an airplane window of the clouds

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Metadata

Capture date:

Friday, March 2nd, 2018 at 7:25:56 AM

Original Dimensions:

3024w x 4032h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Coalinga, California, United States (36.16,-120.35)

Tags

weather cloud mist fog outdoor mountain sky nature smoke horizon cumulus outdoors skyline scenery

Albums

Photo Archive/2018 Photos

Places

Central Valley Continental United States Fresno County International Border States (Southwest) Northern California San Joaquin Valley Southwest Sun Belt West Coast

Venues

Cable55 Green Dream Tours Siam Thai Restaurant American Cuisine Asian Cuisine Dining Restaurant Southeast Asian Cuisine Thai Cuisine

EXIF Data:

iso

25

metering mode

3

aperture

f/1.8

focal length

4mm

shutter speed

1/2315s

camera make

Apple

camera model

lens model

iPhone X back dual camera 4mm f/1.8

date

2018-03-02T07:25:56.548000-08:00

tzoffset

-28800

tzname

America/Los_Angeles

Scores

overall (36.38%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.23%)

failure (-2.73%)

harmonious color (8.70%)

immersiveness (10.28%)

interaction (1.00%)

interesting subject (-43.58%)

intrusive object presence (-1.76%)

lively color (4.05%)

low light (0.27%)

noise (-11.72%)

pleasant camera tilt (-5.75%)

pleasant composition (9.95%)

pleasant lighting (-18.91%)

pleasant pattern (8.84%)

pleasant perspective (2.07%)

pleasant post processing (-3.77%)

pleasant reflection (-1.98%)

pleasant symmetry (0.93%)

sharply focused subject (1.32%)

tastefully blurred (-1.05%)

well chosen subject (16.93%)

well framed subject (-3.69%)

well timed shot (0.29%)

all (4.69%)

* 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.