Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Wooden Flooring with a Door and a Trash Can

Wooden Flooring with a Door and a Trash Can

Caption

A glimpse into the interior design of a room featuring three people's footwear and two refrigerators in the background; dated September 19th, 2002.

BLIP-2 Description:

a wooden floor in a room with a door and a trash can

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Metadata

Capture date:

Thursday, September 19th, 2002 at 12:05:54 PM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

door refrigerator appliance sessions footwear flooring design wood shoe progression old junglescene indoors interior photos/progression_sessions hardwood device floor electrical

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/progression_sessions progression_sessions

Places

Venues

EXIF Data:

date

2002-09-19T12:05:54-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (18.16%)

curation (50.00%)

highlight visibility (4.35%)

behavioral (70.51%)

failure (-1.34%)

harmonious color (-0.02%)

immersiveness (1.46%)

interaction (1.00%)

interesting subject (-75.73%)

intrusive object presence (-3.81%)

lively color (0.02%)

low light (44.97%)

noise (-12.96%)

pleasant camera tilt (-18.86%)

pleasant composition (-62.79%)

pleasant lighting (-48.10%)

pleasant pattern (7.96%)

pleasant perspective (-21.47%)

pleasant post processing (5.99%)

pleasant reflection (-7.51%)

pleasant symmetry (0.37%)

sharply focused subject (0.10%)

tastefully blurred (1.60%)

well chosen subject (-2.42%)

well framed subject (-53.61%)

well timed shot (-0.71%)

all (-8.41%)

* 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.