Photos | Examining the Unstuck Mars Rover
Julien Denormandie and two colleagues inspect the rover on a plywood platform in a lab room in 2009.
BLIP-2 Description:
a group of people standing around a large objectChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
room furniture lab armored floor unstuck weapon military turret vehicle space transportation summer astronomy wood bag accessories laboratory workshop chair pants julien denormandie glasses jpl_unstuck_mars_rover footwear building architecture mark institute outer manufacturing interior table technology canon coat eos plywood flooring handbag mars california rover box factory ii jpl clinic july swivel hospital tank shoe
Detected Text
iso
1600
metering mode
5
aperture
f/6.3
focal length
50mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-07-06T09:55:51.970000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.47%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.15%)
harmonious color
(0.49%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-55.13%)
intrusive object presence
(-7.52%)
lively color
(-0.31%)
low light
(0.32%)
noise
(-2.25%)
pleasant camera tilt
(-9.10%)
pleasant composition
(-74.95%)
pleasant lighting
(-4.30%)
pleasant pattern
(3.05%)
pleasant perspective
(4.43%)
pleasant post processing
(0.81%)
pleasant reflection
(-1.65%)
pleasant symmetry
(0.37%)
sharply focused subject
(0.20%)
tastefully blurred
(-0.99%)
well chosen subject
(-12.92%)
well framed subject
(-38.96%)
well timed shot
(1.42%)
all
(-3.00%)
* 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.