Photos | 2012 Bullock Curtis Family Photo Collage

A historical document of 32 people including Oswald Boelcke, Shirley Temple, Bessie Love, and Alexei Nikolaevich, Tsarevich of Russia captured in a modern art collage featuring mineral and diamond accessories displayed on a slate screen in Bakersfield, California.
BLIP-2 Description:
a black and white photo album with pictures of peopleMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
Location:
bullock oswald boelcke tsarevich diamond temple slate family collage nikolaevich art document file hardware alexei mineral russia shirley electronics folder jewelry screen gemstone accessories monitor modern bessie love curtis alexei nikolaevich, tsarevich of russia computer bullock_curtis_family_photos file binder
iso
400
metering mode
5
aperture
f/4
focal length
100mm
shutter speed
1/6s
camera make
Canon
camera model
lens model
date
2012-08-05T14:08:47.470000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(28.56%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.48%)
failure
(-0.46%)
harmonious color
(-7.90%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-66.02%)
intrusive object presence
(-6.79%)
lively color
(0.51%)
low light
(32.06%)
noise
(-5.86%)
pleasant camera tilt
(-6.59%)
pleasant composition
(-11.23%)
pleasant lighting
(-19.70%)
pleasant pattern
(8.40%)
pleasant perspective
(8.66%)
pleasant post processing
(-3.28%)
pleasant reflection
(-5.52%)
pleasant symmetry
(1.93%)
sharply focused subject
(1.32%)
tastefully blurred
(-5.61%)
well chosen subject
(9.69%)
well framed subject
(33.45%)
well timed shot
(-1.22%)
all
(0.25%)
* 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.