Photos | Busy Chefs at Work in LA Kitchen
Lucy Deakins captures a bustling kitchen scene in Los Angeles, with 16 people, including 4 male and 3 female chefs, preparing delicious food using utensils, cutting boards, and cooking machines. Clothing, hats, and gloves protect the chefs as they create mouth-watering dishes amidst an array of tableware and vegetables.
BLIP-2 Description:
a group of chefs preparing food in a kitchenMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
Location:
phone plate glasses salad ice cream mobile sink bag chef cutting board interior food bowl cooking chair vegetable jewelry hardware kitchen tableware glove electronics handbag dessert bar room wristwatch screen cup machine hat knife weapon meal utensil lucy deakins furniture district accessories blade monitor culinary computer art
iso
80
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
overall
(27.32%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.63%)
failure
(-0.20%)
harmonious color
(1.48%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-48.63%)
intrusive object presence
(-12.55%)
lively color
(3.58%)
low light
(0.32%)
noise
(-2.69%)
pleasant camera tilt
(-13.59%)
pleasant composition
(-73.10%)
pleasant lighting
(-16.80%)
pleasant pattern
(11.45%)
pleasant perspective
(-10.86%)
pleasant post processing
(3.68%)
pleasant reflection
(-6.48%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.27%)
tastefully blurred
(-7.84%)
well chosen subject
(-41.70%)
well framed subject
(-27.47%)
well timed shot
(-3.17%)
all
(-6.30%)
* 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.