Photos | Charles Elachi and a Colleague Discuss the Phoenix Landing
Charles Elachi and another man sit at a conference table, holding a small model airplane as they address the press about the Phoenix Landing mission. Elachi, with his eyeglasses and microphone, seems to be pointing out something on the plane's optical equipment.
BLIP-2 Description:
two men sitting at a table with a small model airplaneChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3888w x 2592h - (download 4k)
Usage
Dominant Color:
peter optical chair eos conference equipment enty microphone wristwatch transportation phoenix zanding descer furniture officer rarn eyeglasses aircraft smith glasses barr press vehicle logo accessories landing spring charles elachi canon device part phoenix_landing_press_conference cup crowd captain electrical
iso
1600
metering mode
5
aperture
f/2.8
focal length
200mm
shutter speed
1/25s
camera make
Canon
camera model
lens model
date
2008-05-25T21:12:20.300000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(45.21%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.50%)
failure
(-0.12%)
harmonious color
(2.21%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(11.39%)
intrusive object presence
(-22.44%)
lively color
(3.83%)
low light
(8.23%)
noise
(-3.22%)
pleasant camera tilt
(-0.76%)
pleasant composition
(-22.07%)
pleasant lighting
(0.14%)
pleasant pattern
(1.34%)
pleasant perspective
(2.76%)
pleasant post processing
(2.51%)
pleasant reflection
(-3.94%)
pleasant symmetry
(0.22%)
sharply focused subject
(4.47%)
tastefully blurred
(-0.67%)
well chosen subject
(13.49%)
well framed subject
(59.18%)
well timed shot
(5.60%)
all
(4.27%)
* 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.