Dave Bullock / eecue

Photographer Engineering Leader Nerd

Photos | Mapping Out the Machine

Mapping Out the Machine

Caption

A detailed flow chart diagram of a computer drawn on a whiteboard at ArtCenter - Hillside Campus in Pasadena, California.

BLIP-2 Description:

a whiteboard with a diagram of a computer

Chronologically Adjacent

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Metadata

Capture date:

Friday, January 17th, 2014 at 5:43:21 PM

Original Dimensions:

3264w x 2448h - (download 4k)

Usage

Usage and Licensing

Dominant Color:

Location:

North Arroyo, Pasadena, California, United States (34.17,-118.18)

Tags

Detected Text

05x 102 3306 443 5889 80 8888 9 apache classes computer dea images javascrit linux mamp pages unix www wp cats content html mysal mysql php

Albums

Places

ArtCenter - Hillside Campus Continental United States Greater Los Angeles Area International Border States (Southwest) Los Angeles County Southern California Southwest Sun Belt Tech Coast West Coast

Venues

EXIF Data:

iso

250

metering mode

3

aperture

f/2.2

focal length

4mm

latitude

34.17

longitude

-118.18

shutter speed

1/30s

camera make

Apple

camera model

lens model

iPhone 5s back camera 4.12mm f/2.2

Apple Photos ML Scores

curation (25.00%)

highlight visibility (1.99%)

behavioral (10.06%)

failure (-0.63%)

harmonious color (-0.60%)

immersiveness (0.32%)

interaction (1.00%)

interesting subject (-84.47%)

intrusive object presence (-5.81%)

lively color (-10.00%)

low light (0.39%)

noise (-14.77%)

pleasant camera tilt (-11.18%)

pleasant composition (-26.27%)

pleasant lighting (-25.07%)

pleasant pattern (4.15%)

pleasant perspective (-3.67%)

pleasant post processing (-25.61%)

pleasant reflection (1.99%)

pleasant symmetry (0.42%)

sharply focused subject (0.22%)

tastefully blurred (-1.85%)

well chosen subject (16.33%)

well framed subject (-14.90%)

well timed shot (-1.12%)

all (-5.88%)

* 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.