Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Serene Bird and Sailboats at The Broad

Serene Bird and Sailboats at The Broad

Caption

A bird perches on the calm water in front of sailboats at The Broad, creating a peaceful outdoor scene.

BLIP-2 Description:

a bird is sitting on the water in front of tents

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Metadata

Capture date:

Friday, April 14th, 2017 at 1:00:12 PM

Original Dimensions:

160w x 120h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

Los Angeles, California, United States (34.05,-118.25)

Tags

Albums

Photo Archive/2017/Coachella 2017/All All

Places

The Broad Downtown Continental United States Greater Los Angeles Area International Border States (Southwest) Los Angeles County Santa Clarita Valley Southern California Southwest Sun Belt Tech Coast West Coast

Venues

The Broad Vespaio

EXIF Data:

date

2017-04-14T13:00:12-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (43.53%)

curation (50.00%)

highlight visibility (3.89%)

behavioral (10.00%)

failure (-2.83%)

harmonious color (13.11%)

immersiveness (4.66%)

interaction (1.00%)

interesting subject (-19.18%)

intrusive object presence (-5.32%)

lively color (13.29%)

low light (48.71%)

noise (-28.83%)

pleasant camera tilt (0.05%)

pleasant composition (-9.94%)

pleasant lighting (-20.76%)

pleasant pattern (7.28%)

pleasant perspective (14.01%)

pleasant post processing (13.77%)

pleasant reflection (-0.52%)

pleasant symmetry (2.37%)

sharply focused subject (1.37%)

tastefully blurred (-24.49%)

well chosen subject (3.82%)

well framed subject (14.94%)

well timed shot (12.02%)

all (6.97%)

* 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.