Photos | Red Card Showdown

Ryan K furiously brandishes the red card during a heated match. His intense gaze and finger pointed directly at his opponent symbolize his unyielding respect for the game.
BLIP-2 Description:
a man holding a red cardMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
west la ryan platoon spr digital install cash generation respect massive phear dubs coast part tech junglist machete st muse june turbo photography marcus rock weekly contest amazing dino scooba next prize friday soundboy studies mathematics social k portrait mayorga nyc text lion america's united hosted sto advertisement dance judged itch art tailz beard visionary rockers friction
Detected Text
10 2006 21 23rd 618s 9th amazing america's and art at by cash coast contest dance digital dino dubs for friction friday generation hosted install judged june junglist la lion machete marcus massive mathematics mayorga muse next nyc over phear platoon prize respect rock rockers s100 scooba social soundboy spr st sto studies t tailz the turbo united visionary weekly west
iso
100
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/250s
camera make
Canon
camera model
lens model
date
2006-06-09T02:30:12-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(46.95%)
curation
(66.36%)
highlight visibility
(5.60%)
behavioral
(70.31%)
failure
(-0.51%)
harmonious color
(-1.55%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(13.33%)
intrusive object presence
(-11.94%)
lively color
(-0.62%)
low light
(95.61%)
noise
(-3.30%)
pleasant camera tilt
(-4.78%)
pleasant composition
(-17.55%)
pleasant lighting
(-8.15%)
pleasant pattern
(1.32%)
pleasant perspective
(-9.17%)
pleasant post processing
(-2.27%)
pleasant reflection
(1.37%)
pleasant symmetry
(0.37%)
sharply focused subject
(8.81%)
tastefully blurred
(2.72%)
well chosen subject
(10.72%)
well framed subject
(72.12%)
well timed shot
(-2.93%)
all
(2.22%)
* 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,
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