Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Warning Sign for Gate Safety

Warning Sign for Gate Safety

Caption

This street sign serves as a reminder that moving gates can be dangerous and cause serious injury or even death. Photographed on September 27, 2002.

BLIP-2 Description:

a sign warning of moving gate cause injury or death

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Metadata

Capture date:

Saturday, September 28th, 2002 at 1:21:29 PM

Original Dimensions:

480w x 640h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

warning old serious injury death cause sign gate path street keep road junglescene moving cleadi clapperboard muse symbol start unless

Detected Text

a can cause cleadi com death do gate injury junglescene keep moving not or path serious start unless warning

Albums

Photo Archive/Old Photos/muse_9_27_02 muse_9_27_02

Places

Venues

EXIF Data:

date

2002-09-28T13:21:29-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Apple Photos ML Scores

overall (15.93%)

curation (25.00%)

highlight visibility (1.98%)

behavioral (10.02%)

failure (-0.39%)

harmonious color (-0.43%)

immersiveness (0.15%)

interaction (1.00%)

interesting subject (-75.00%)

intrusive object presence (-3.13%)

lively color (-8.39%)

low light (5.25%)

noise (-3.37%)

pleasant camera tilt (-7.84%)

pleasant composition (-24.57%)

pleasant lighting (-20.80%)

pleasant pattern (5.76%)

pleasant perspective (1.95%)

pleasant post processing (0.09%)

pleasant reflection (4.09%)

pleasant symmetry (0.59%)

sharply focused subject (1.37%)

tastefully blurred (-3.71%)

well chosen subject (7.64%)

well framed subject (15.75%)

well timed shot (1.41%)

all (-1.45%)

* 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.