Photos | Branson and Rutan Discuss White Knight Two in Front of Airplane
Richard Branson and Burt Rutan sit on stools outside the aircraft at an airport, discussing the White Knight Two with a microphone in hand. The clear blue sky and their matching black and white outfits complete the scene.
BLIP-2 Description:
two people sitting on stools in front of an airplaneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
architecture pants virgingalactic building knight footwear airplane airfield microphone wristwatch transportation officer outdoor aviation two rutan richard branson sky burt shoe bag aircraft white machine airliner hangar coat airport vehicle flight accessories landing device handbag white_knight_two captain electrical
Detected Text
iso
100
metering mode
5
aperture
f/3.2
focal length
16mm
shutter speed
1/1250s
camera make
Canon
camera model
lens model
date
2008-07-28T08:46:07-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(50.20%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.17%)
harmonious color
(1.20%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(34.55%)
intrusive object presence
(-10.45%)
lively color
(-1.83%)
low light
(9.96%)
noise
(-0.73%)
pleasant camera tilt
(-3.79%)
pleasant composition
(-14.66%)
pleasant lighting
(-25.39%)
pleasant pattern
(8.96%)
pleasant perspective
(13.02%)
pleasant post processing
(0.98%)
pleasant reflection
(5.52%)
pleasant symmetry
(1.66%)
sharply focused subject
(0.49%)
tastefully blurred
(-7.39%)
well chosen subject
(-4.31%)
well framed subject
(31.88%)
well timed shot
(28.22%)
all
(5.34%)
* 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.