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:
architecture summer turret pants laboratory mars building chair footwear eos astronomy plywood transportation furniture swivel military outer flooring space wood shoe jpl_unstuck_mars_rover bag manufacturing julien denormandie ii technology coat glasses factory institute july mark armored interior vehicle table accessories room lab handbag jpl canon workshop tank unstuck california hospital clinic floor rover weapon box
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.