Photos | Unveiling the Unstuck Mars Rover

Cammi Granato and others gather around the Mars rover, surrounded by lab equipment and furniture, as it's unveiled for the first time at the JPL in 2009.
BLIP-2 Description:
several people standing around a large object in a roomMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
jet room furniture lab desk propulsion floor unstuck hardware screen space astronomy bag accessories wood laboratory jewelry workshop chair pants nasa glasses jpl_unstuck_mars_rover footwear building architecture necklace monitor institute outer manufacturing interior table technology coat plywood flooring cammi granato handbag swivel computer mars california rover box factory clinic jpl lab coat electronics hospital shoe
Detected Text
iso
1600
metering mode
5
aperture
f/6.3
focal length
51mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-07-06T09:55:47.530000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(25.37%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.20%)
harmonious color
(0.37%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-67.68%)
intrusive object presence
(-7.89%)
lively color
(-2.33%)
low light
(0.49%)
noise
(-2.88%)
pleasant camera tilt
(-8.88%)
pleasant composition
(-79.59%)
pleasant lighting
(-12.43%)
pleasant pattern
(2.98%)
pleasant perspective
(3.57%)
pleasant post processing
(1.11%)
pleasant reflection
(-2.29%)
pleasant symmetry
(0.29%)
sharply focused subject
(0.15%)
tastefully blurred
(-4.61%)
well chosen subject
(-13.77%)
well framed subject
(-45.53%)
well timed shot
(0.74%)
all
(-4.70%)
* 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.