Dave Bullock / eecue

Photographer Engineer Musician Nerd

Photos | Holding onto Data

Holding onto Data

Caption

A person carefully holds a hard drive, preserving precious memories and important information.

BLIP-2 Description:

a person holding a hard drive in their hand

Chronologically Adjacent

Previous chronologically

Next chronologically

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

Metadata

Capture date:

Sunday, October 20th, 2002 at 1:37:52 PM

Original Dimensions:

640w x 480h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Windswept Canyon

Tags

card junglescene text consumer electronics cord electronics rekognition_c credit computer disk bluebeat baby keyboard old hard computer hardware machine hardware

Detected Text

com junglescene

Albums

Photo Archive/Old Photos/bluebeat_2 bluebeat_2

Places

Venues

EXIF Data:

date

2002-10-20T13:37:52-07:00

tzoffset

-25200

tzname

America/Los_Angeles

Scores

overall (10.81%)

curation (50.00%)

highlight visibility (2.44%)

behavioral (70.29%)

failure (-0.46%)

harmonious color (-0.99%)

immersiveness (0.37%)

interaction (2.00%)

interesting subject (-79.30%)

intrusive object presence (-7.57%)

lively color (6.23%)

low light (3.61%)

noise (-5.62%)

pleasant camera tilt (-10.16%)

pleasant composition (-73.93%)

pleasant lighting (-22.23%)

pleasant pattern (2.05%)

pleasant perspective (-12.67%)

pleasant post processing (-4.00%)

pleasant reflection (-1.68%)

pleasant symmetry (0.12%)

sharply focused subject (1.37%)

tastefully blurred (-0.27%)

well chosen subject (-31.20%)

well framed subject (-35.96%)

well timed shot (-0.67%)

all (-8.25%)

* 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.