Photos | US 93 T-Shirt

A person wearing a T-shirt with the words US 93 on it, photographed on June 10th, 2018 in Los Angeles, California.
BLIP-2 Description:
a t - shirt with the words us 93 on itMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
walsh continental men summer pretenders gunday sunday page ca english wall oingo south judas riot beat stray persons voodoo nicks missing apple ml van states joe quiet x text june scorpions disciples iphone flockof document boingo motley osbourne negative park shirt today angeles berlin seagulls priest united work los quarterflash david clash downtown monday ozzy t-shirt stevie triumph st cats printed south park моу california bowie halen apple crue steven soul little
Detected Text
28,29 283 8.30 at beat berlin boingo bowie cats clash crue david disciples english flockof gunday halen joe judas little men missing monday motley nicks of oingo osbourne ozzy persons pretenders priest quarterflash quiet riot scorpions seagulls soul steven stevie stray the today triumph van voodoo wall walsh work моу
iso
125
metering mode
3
aperture
f/1.8
focal length
4mm
shutter speed
1/4s
camera make
Apple
camera model
lens model
date
2018-06-10T00:01:59.092000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.09%)
failure
(-0.49%)
harmonious color
(-2.09%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-91.26%)
intrusive object presence
(-2.27%)
lively color
(17.30%)
low light
(0.15%)
noise
(-2.71%)
pleasant camera tilt
(-5.12%)
pleasant composition
(-16.87%)
pleasant lighting
(-14.28%)
pleasant pattern
(2.86%)
pleasant perspective
(3.02%)
pleasant post processing
(4.04%)
pleasant reflection
(3.72%)
pleasant symmetry
(0.42%)
sharply focused subject
(1.73%)
tastefully blurred
(7.19%)
well chosen subject
(12.54%)
well framed subject
(4.82%)
well timed shot
(-2.58%)
all
(-0.41%)
* 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.