Dave Bullock / eecue

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Photos | Two Men in Hats Pose in Front of Building at Night

Two Men in Hats Pose in Front of Building at Night

Caption

Jan Friesinger and Jan Friesinger stand in front of an urban building at night, their three hats and casual clothing illuminated by the city lights. Taken in 1999 at the Midtown Shopping Center in Los Angeles, California, this portrait captures a moment in time.

BLIP-2 Description:

two men standing in front of a building at night

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Metadata

Capture date:

Original Dimensions:

640w x 480h - (download 4k)

Usage

Dominant Color:

Jungle Civilization

Location:

Detected Text

com  junglescene  

EXIF Data:

date
2002-08-29T13:14:46-07:00
tzoffset
-25200
tzname
America/Los_Angeles

Scores

overall (24.08%)
curation (50.00%)
highlight visibility (4.35%)
behavioral (70.54%)
failure (-1.03%)
harmonious color (-6.33%)
immersiveness (0.37%)
interaction (1.00%)
interesting subject (-39.60%)
intrusive object presence (-3.30%)
lively color (-26.54%)
low light (63.04%)
noise (-20.24%)
pleasant camera tilt (-11.34%)
pleasant composition (-45.31%)
pleasant lighting (-64.36%)
pleasant pattern (4.69%)
pleasant perspective (-12.20%)
pleasant post processing (-4.90%)
pleasant reflection (1.51%)
pleasant symmetry (0.24%)
sharply focused subject (0.15%)
tastefully blurred (-21.37%)
well chosen subject (-40.58%)
well framed subject (-25.93%)
well timed shot (-18.48%)
all (-12.44%)
* 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.
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little... weird.
* 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.