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:
priest page pretenders stray stevie clash apple ml joe triumph voodoo apple sunday negative berlin motley steven van gunday t-shirt soul los quarterflash summer judas downtown cats june shirt st scorpions missing disciples states oingo iphone ozzy park monday walsh little wall quiet work x continental text beat flockof bowie today angeles nicks riot men persons english california osbourne south park united crue south david boingo halen моу ca seagulls document printed
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.