Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Hole in the Ceiling

Hole in the Ceiling

Caption

A peek at the wooden ceiling of an old building, showing a hole in the plywood panels, revealing possible mold and damage.

BLIP-2 Description:

a wooden ceiling with a hole in it

Chronologically Adjacent

Previous chronologically

Next chronologically

Note: You can also navigate with your arrow keys or swiping.

Metadata

Capture date:

Friday, September 13th, 2002 at 12:57:30 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

interior design mold paint building wall plywood outdoor flooring wood document old stain junglescene indoors ceiling hardwood respect floor panels

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/respect_9_13_02 respect_9_13_02

Places

Venues

EXIF Data:

date

2002-09-13T12:57:30-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

curation (50.00%)

highlight visibility (1.99%)

behavioral (10.14%)

failure (-5.42%)

harmonious color (-3.71%)

immersiveness (0.56%)

interaction (1.00%)

interesting subject (-92.97%)

intrusive object presence (-13.06%)

lively color (-9.85%)

low light (0.78%)

noise (-2.71%)

pleasant camera tilt (-16.53%)

pleasant composition (-65.09%)

pleasant lighting (-34.50%)

pleasant pattern (4.86%)

pleasant perspective (-31.49%)

pleasant post processing (-6.62%)

pleasant reflection (3.92%)

pleasant symmetry (0.66%)

sharply focused subject (2.54%)

tastefully blurred (-17.36%)

well chosen subject (-3.51%)

well framed subject (-29.13%)

well timed shot (-0.03%)

all (-10.56%)

* 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.