Photos | The Echoes of Past Faces: A Monochromatic Perspective
This epic display, photographed on January 14, 2024, at the Walt Disney Family Museum, explores the universality of human emotion through a collage of black and white portraits. The intermingling of art, technology, and transportation themes is uniquely underscored by the unexpected appearance of cars and other vehicles within the images. Overwhelming hues of nostalgia manifest through the blend of art, upholstery, and contemporary electronics that frame the narrative of each face. Truly a modern testament to our collective journey.
BLIP-2 Description:
a wall with black and white photographs of peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
iso
2500
metering mode
5
aperture
f/3.2
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
date
2024-01-14T14:28:37.140000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(54.15%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-0.27%)
harmonious color
(5.88%)
immersiveness
(1.05%)
interaction
(1.00%)
interesting subject
(-7.87%)
intrusive object presence
(-3.44%)
lively color
(-16.99%)
low light
(30.64%)
noise
(-1.05%)
pleasant camera tilt
(-3.66%)
pleasant composition
(18.05%)
pleasant lighting
(3.28%)
pleasant pattern
(5.76%)
pleasant perspective
(19.21%)
pleasant post processing
(1.38%)
pleasant reflection
(-3.30%)
pleasant symmetry
(2.17%)
sharply focused subject
(0.73%)
tastefully blurred
(8.34%)
well chosen subject
(0.85%)
well framed subject
(19.57%)
well timed shot
(6.38%)
all
(8.18%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.