Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Contrast in Monochrome

Contrast in Monochrome

Caption

A glimpse of the city through the black-framed window in a minimalist white room. #architecture #indoorphotography #transportation

BLIP-2 Description:

a window in a white room with a black frame

Chronologically Adjacent

Previous chronologically

Next chronologically

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

Metadata

Capture date:

Monday, October 28th, 2002 at 10:24:12 AM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Glimpse into Space

Tags

architecture junglescene indoors skylight building window vehicle car old proper transportation

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/proper_10_27_02 proper_10_27_02

Places

Venues

EXIF Data:

date

2002-10-28T10:24:12-08:00

tzoffset

-28800

tzname

America/Los_Angeles

Scores

overall (7.28%)

curation (50.00%)

highlight visibility (1.99%)

behavioral (10.14%)

failure (-2.12%)

harmonious color (-3.75%)

immersiveness (1.34%)

interaction (1.00%)

interesting subject (-74.46%)

intrusive object presence (-17.16%)

lively color (-6.15%)

low light (9.33%)

noise (-10.91%)

pleasant camera tilt (-14.32%)

pleasant composition (-44.14%)

pleasant lighting (-34.13%)

pleasant pattern (2.34%)

pleasant perspective (-12.01%)

pleasant post processing (-1.16%)

pleasant reflection (-5.25%)

pleasant symmetry (0.68%)

sharply focused subject (0.73%)

tastefully blurred (-1.57%)

well chosen subject (9.13%)

well framed subject (-3.39%)

well timed shot (2.71%)

all (-6.52%)

* 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.