Photos | Buzz Aldrin with fans at an airfield

Former astronaut Buzz Aldrin poses with fans in front of a White Knight Two airplane at an airfield in 2008. The blue sky and outdoor setting enhance the brightness of their clothing and accessories, including neckties, hats, handbags, and wristwatches.
BLIP-2 Description:
an older man and woman standing next to an airplaneMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
sleeve jeans necklace pants knight buzz aldrin footwear airplane airfield ride transportation hat luggage wristwatch purse officer outdoor two sky container shoe bag aircraft spaceship white airliner shirt glasses galactic airport belt shorts long sunglasses backpack jewelry vehicle logo accessories gl formal wear necktie part handbag white_knight_two captain
iso
1600
metering mode
5
aperture
f/2.8
focal length
16mm
shutter speed
1/8000s
camera make
Canon
camera model
lens model
date
2008-07-28T08:05:02-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(41.80%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.46%)
harmonious color
(-0.16%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-7.01%)
intrusive object presence
(-31.69%)
lively color
(4.93%)
low light
(3.88%)
noise
(-2.25%)
pleasant camera tilt
(-5.90%)
pleasant composition
(-66.50%)
pleasant lighting
(-29.10%)
pleasant pattern
(2.15%)
pleasant perspective
(0.49%)
pleasant post processing
(2.49%)
pleasant reflection
(0.05%)
pleasant symmetry
(0.20%)
sharply focused subject
(2.69%)
tastefully blurred
(6.13%)
well chosen subject
(-44.12%)
well framed subject
(10.01%)
well timed shot
(3.80%)
all
(-4.01%)
* 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.