Photos | Smiling Chef with Tattoos Holds Bowl of Deliciousness

Roy Choi, also known as Roy C, grins as he proudly holds a bowl of his latest culinary creation in Los Angeles. He showcases his artistic tattoos while wearing a baseball cap and casual clothing, adding to his unique persona.
BLIP-2 Description:
a man with tattoos is smiling while holding a bowlMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
cap roy c glove hardware choi screen part tattoo skin indoors bag accessories shirt baseball jewelry dish plate roy glasses cafeteria caution pan food monitor chef district utensil cooking interior cookware restaurant meal burger computer handbag rekognition_c headgear design hat art electronics tableware
Detected Text
iso
125
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-11-04T12:51:20.036000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.89%)
curation
(66.35%)
highlight visibility
(5.60%)
behavioral
(70.63%)
failure
(-0.46%)
harmonious color
(1.16%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(3.45%)
intrusive object presence
(-4.59%)
lively color
(13.13%)
low light
(13.26%)
noise
(-5.86%)
pleasant camera tilt
(-6.71%)
pleasant composition
(-55.76%)
pleasant lighting
(-31.81%)
pleasant pattern
(10.89%)
pleasant perspective
(-4.55%)
pleasant post processing
(1.56%)
pleasant reflection
(-4.72%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.56%)
tastefully blurred
(-10.30%)
well chosen subject
(-46.22%)
well framed subject
(-5.47%)
well timed shot
(4.22%)
all
(-4.17%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.