Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Chandelier Selfie

Chandelier Selfie

Caption

Dave and Lori capture their smiles in front of a stunning chandelier while exploring Cuauhtémoc. #Chandelier #Portrait #Photography #Mexico

BLIP-2 Description:

a man and woman taking a selfie in front of a large chandelier

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Metadata

Capture date:

Friday, October 26th, 2018 at 1:05:02 PM

Original Dimensions:

2316w x 3088h - (download 4k)

Usage

Usage and Licensing

Location:

Condesa, Cuauhtémoc, CDMX, Mexico (19.42,-99.18)

People

Tags

dave indoors beard lighting selfie condesa lori s chandelier urban photography interior smile happy portrait fixture design light lamp

Albums

Photo Archive/2018 Photos

Places

Venues

Abarrotes Andy Antojitos las Huérfanas Barbachita Cafetería Cinta Santa Finca Santa Veracruz Italianni's Cafe Cafeteria Coffee Shop Dining Latin American Cuisine Mexican Cuisine Restaurant

EXIF Data:

iso

320

metering mode

5

aperture

f/2.2

focal length

3mm

shutter speed

1/30s

camera make

Apple

camera model

lens model

iPhone XS Max front camera 2.87mm f/2.2

date

2018-10-26T15:05:03.189000-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (37.65%)

curation (68.38%)

highlight visibility (5.76%)

behavioral (70.50%)

failure (-0.17%)

harmonious color (2.50%)

immersiveness (0.15%)

interaction (1.00%)

interesting subject (2.01%)

intrusive object presence (-6.71%)

lively color (2.57%)

low light (1.73%)

noise (-1.00%)

pleasant camera tilt (-11.00%)

pleasant composition (-29.61%)

pleasant lighting (-31.86%)

pleasant pattern (6.45%)

pleasant perspective (-17.08%)

pleasant post processing (0.33%)

pleasant reflection (-1.68%)

pleasant symmetry (0.34%)

sharply focused subject (0.73%)

tastefully blurred (-5.69%)

well chosen subject (-12.78%)

well framed subject (21.57%)

well timed shot (-1.00%)

all (-2.76%)

* 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.