Photos | Gathering at the Kitchen Counter
A group of ten people, including four adults and three men, stand around the counter in a bustling restaurant kitchen. The indoor space is decorated with plants and paintings, while the diners enjoy food and drinks as they chat and watch the cooks hard at work.
BLIP-2 Description:
a group of people standing around a counter in a kitchenChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
bracelet cafeteria hairdresser akinobu hiranaka plant pub frame food bar footwear cap beverage plywood faucet lamp hat wristwatch restaurant furniture counter court wood shoe art hardware alcohol coat indoors candle electronics jewelry sink screen accessories cesar monitor couch cafe plate part cup computer painting
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2005-12-04T03:16:31-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(35.38%)
curation
(68.72%)
highlight visibility
(5.78%)
behavioral
(70.67%)
failure
(-0.49%)
harmonious color
(1.75%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(4.19%)
intrusive object presence
(-43.38%)
lively color
(-1.83%)
low light
(31.84%)
noise
(-1.98%)
pleasant camera tilt
(-5.14%)
pleasant composition
(-81.79%)
pleasant lighting
(-23.77%)
pleasant pattern
(5.52%)
pleasant perspective
(-1.58%)
pleasant post processing
(-0.63%)
pleasant reflection
(-1.68%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.63%)
tastefully blurred
(-22.79%)
well chosen subject
(-52.20%)
well framed subject
(-8.09%)
well timed shot
(6.52%)
all
(-6.04%)
* 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.