Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Two Bearded Men with Glasses and Beanies Strike a Pose

Two Bearded Men with Glasses and Beanies Strike a Pose

Caption

Clay Cane and Eric S rock their optical equipment and headgear in this 2006 throwback photo.

BLIP-2 Description:

two men with glasses and a beanie pose for a picture

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Metadata

Capture date:

Friday, April 21st, 2006 at 12:05:27 AM

Original Dimensions:

3504w x 2336h - (download 4k)

Usage

Usage and Licensing

People

Celebs

Clay Cane (78%) ↗ ↗

Tags

year glasses headgear beard clay cane optical eyeglasses equipment eric cap respect accessories js hat beanie

Albums

Photo Archive/2006/respect js 7 year respect js 7 year

Places

Venues

EXIF Data:

iso

100

metering mode

5

aperture

f/1.2

focal length

85mm

shutter speed

1/250s

camera make

Canon

camera model

lens model

date

2006-04-21T00:05:27-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (56.74%)

curation (66.59%)

highlight visibility (5.62%)

behavioral (70.49%)

failure (-0.37%)

harmonious color (-3.77%)

immersiveness (0.22%)

interaction (1.00%)

interesting subject (55.08%)

intrusive object presence (-6.84%)

lively color (-3.37%)

low light (70.17%)

noise (-4.37%)

pleasant camera tilt (2.83%)

pleasant composition (-4.46%)

pleasant lighting (6.26%)

pleasant pattern (0.90%)

pleasant perspective (-0.86%)

pleasant post processing (3.72%)

pleasant reflection (1.93%)

pleasant symmetry (0.44%)

sharply focused subject (27.64%)

tastefully blurred (38.40%)

well chosen subject (11.10%)

well framed subject (69.78%)

well timed shot (15.84%)

all (8.98%)

* NOTE: Amazon Rekognition detected a celebrity in this image using the Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display next to the celebrity's name along with links _↗ to their info.

* 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.