Photos | Manhunter Poster Hangs on Austin Wall
A sign advertising the crime thriller Manhunter is displayed on a wall in Austin, Texas, featuring the faces of its three stars illuminated by a nearby lamp.
BLIP-2 Description:
a poster for the movie manhunter is hanging on the wallChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2448w x 3264h - (download 4k)
Usage
Dominant Color:
Location:
mom advertisement linas fe lucky welliam lamp flooring street tilted entertainment kaa poster devoted empire philips brother mick adam chernick stream productions logoute die ray jay sherman floor danie manson paris nick sign phillips sixth brothers scur mark nanson tebin boile family vacation ay downtown emtertainent pop blue hat duplass samantha leonora arcus prescies windmill ne kern bell martin pitts
Detected Text
100 adam arcus ay boile brother brothers blue chernick danie die duplass e emtertainent empire entertainment fe jay kaa kern leonora linas logoute lucky martin mick man manson mark mom nanson nick ne philips pitts pop prescies productions paris phillips ray scur sherman samantha tebin tilted vacation welliam windmill a bell devoted family hat his is the to we
iso
500
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
30.27
longitude
-97.74
shutter speed
1/15s
camera make
Apple
camera model
lens model
overall
(25.20%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.25%)
failure
(-0.61%)
harmonious color
(1.07%)
immersiveness
(0.46%)
interaction
(1.00%)
interesting subject
(-77.05%)
intrusive object presence
(-1.42%)
lively color
(4.19%)
low light
(59.67%)
noise
(-5.20%)
pleasant camera tilt
(-4.28%)
pleasant composition
(2.97%)
pleasant lighting
(-39.60%)
pleasant pattern
(3.44%)
pleasant perspective
(9.42%)
pleasant post processing
(2.17%)
pleasant reflection
(1.07%)
pleasant symmetry
(1.73%)
sharply focused subject
(2.05%)
tastefully blurred
(5.86%)
well chosen subject
(21.77%)
well framed subject
(26.66%)
well timed shot
(2.84%)
all
(1.70%)
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from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
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