Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Remote Control at Audiotistic 2002

Remote Control at Audiotistic 2002

Caption

A person holds a remote control as they enjoy the music and festivities at Audiotistic 2002.

BLIP-2 Description:

a person holding a remote control in their hand

Chronologically Adjacent

Previous chronologically

Next chronologically

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

Metadata

Capture date:

Wednesday, April 24th, 2002 at 1:54:50 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Tags

camera junglescene part photography electronics jewelry baby ring accessories audiotistic

Detected Text

com junglescene

Albums

Photo Archive/junglescene.com/audiotistic_2002-aud audiotistic_2002-audiotistic_2002

Places

Venues

EXIF Data:

date

2002-08-29T13:54:50-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (16.37%)

curation (50.00%)

highlight visibility (2.45%)

behavioral (70.34%)

failure (-7.01%)

harmonious color (-5.08%)

immersiveness (0.24%)

interaction (1.00%)

interesting subject (-61.57%)

intrusive object presence (-4.47%)

lively color (2.27%)

low light (98.68%)

noise (-6.71%)

pleasant camera tilt (-9.61%)

pleasant composition (-71.48%)

pleasant lighting (-52.10%)

pleasant pattern (2.69%)

pleasant perspective (-17.21%)

pleasant post processing (0.99%)

pleasant reflection (3.28%)

pleasant symmetry (0.15%)

sharply focused subject (0.39%)

tastefully blurred (-58.11%)

well chosen subject (-20.15%)

well framed subject (-22.97%)

well timed shot (-14.73%)

all (-11.13%)

* 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.