Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | The Majestic Entrance to the Palmer Building

The Majestic Entrance to the Palmer Building

Caption

A towering edifice of architecture, with a beautifully adorned entrance, encompassed by lush plant life. The perfect blend of nature and design.

BLIP-2 Description:

the entrance to the palmer building

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Metadata

Capture date:

Sunday, August 18th, 2002 at 3:01:03 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

architecture junglescene door indoors outdoor airport plant building palmer sign hospital clinic postal shop sliding proper office symbol

Detected Text

6362 building com junglescene palmer the

Albums

Photo Archive/junglescene.com/proper_8_18_02-prope proper_8_18_02-proper_8_18_02

Places

Venues

EXIF Data:

date

2002-08-29T15:01:03-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (16.30%)

curation (25.00%)

highlight visibility (2.45%)

behavioral (70.35%)

failure (-0.44%)

harmonious color (-3.70%)

immersiveness (0.22%)

interaction (1.00%)

interesting subject (-75.88%)

intrusive object presence (-4.08%)

lively color (-7.56%)

low light (44.09%)

noise (-10.47%)

pleasant camera tilt (-18.47%)

pleasant composition (-58.89%)

pleasant lighting (-50.00%)

pleasant pattern (4.00%)

pleasant perspective (-13.20%)

pleasant post processing (3.97%)

pleasant reflection (-17.65%)

pleasant symmetry (0.73%)

sharply focused subject (0.15%)

tastefully blurred (0.00%)

well chosen subject (9.41%)

well framed subject (-14.54%)

well timed shot (0.18%)

all (-9.08%)

* 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.