Photos | Altar of Memories
A table with candles and a flower arrangement, serving as an Altar to honor the memory of loved ones, in the living room of Ellen Corby, Mary E. White, and Marie Laurencin in 2021.
BLIP-2 Description:
a table with a cloth and candles on itChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
architecture marie laurencin cat plant building frame food chair flower arrangement living furniture pet flooring art dessert white desk altar prayer indoors candle cream heights dining church sweets candy table room pattern couch birthday cake cake mary sword mammal ellen corby animal floor bernal bouquet painting weapon
iso
640
metering mode
5
aperture
f/1.5
focal length
6mm
latitude
37.73
longitude
-122.42
shutter speed
1/29s
camera make
Apple
camera model
date
2021-11-01T19:33:54.592000-07:00
tzoffset
-25200
tzname
GMT-0700
overall
(55.42%)
curation
(50.00%)
highlight visibility
(2.45%)
behavioral
(70.52%)
failure
(-0.22%)
harmonious color
(11.55%)
immersiveness
(1.95%)
interaction
(1.00%)
interesting subject
(17.10%)
intrusive object presence
(-2.27%)
lively color
(7.32%)
low light
(73.68%)
noise
(-2.32%)
pleasant camera tilt
(-2.71%)
pleasant composition
(22.25%)
pleasant lighting
(17.09%)
pleasant pattern
(21.73%)
pleasant perspective
(16.63%)
pleasant post processing
(-1.63%)
pleasant reflection
(4.57%)
pleasant symmetry
(4.22%)
sharply focused subject
(3.91%)
tastefully blurred
(4.83%)
well chosen subject
(-5.18%)
well framed subject
(26.29%)
well timed shot
(1.16%)
all
(11.87%)
* 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-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.