Photos | The Automotive Experience on Screen
A computer screen displaying a video of a car driving, providing a cinematic experience brought to you by advanced consumer electronics.
BLIP-2 Description:
a computer screen showing a video of a car drivingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
deg path machine send current release id hardware consumer station line screen locator node plant tree process dperator tv cinema executed circumnavigating state halted destination vas possible teached monitor sandpit idars necesary no offline help longer computer spawar television platform projection screen sentry ls center set entertainment electronics
Detected Text
0 1 100 11 1122 13 14 171 22 27576 34909 36 39 always b03c be but can circumnavigating current deg destination dperator during executed halted he help id idars if is it line locator longer ls may necesary no node not of offline on path platform possible process release sandpit send sentry set state station teached the this to v6.04 vas
iso
1600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2008-01-22T11:08:27-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(29.27%)
curation
(25.00%)
highlight visibility
(2.45%)
behavioral
(70.27%)
failure
(-1.03%)
harmonious color
(0.35%)
immersiveness
(0.83%)
interaction
(1.00%)
interesting subject
(-73.83%)
intrusive object presence
(-6.20%)
lively color
(-12.99%)
low light
(86.43%)
noise
(-4.61%)
pleasant camera tilt
(-12.18%)
pleasant composition
(-58.59%)
pleasant lighting
(-38.75%)
pleasant pattern
(2.54%)
pleasant perspective
(1.05%)
pleasant post processing
(2.94%)
pleasant reflection
(-0.60%)
pleasant symmetry
(1.07%)
sharply focused subject
(0.93%)
tastefully blurred
(1.23%)
well chosen subject
(-0.81%)
well framed subject
(-7.57%)
well timed shot
(0.89%)
all
(-5.00%)
* 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.