Photos | A Captivating Culinary Conversation
Unforgettable moments as Skibadee and Dj S fuel creativity and camaraderie over food at the buzzing restaurant on the historic evening of March 20, 2006. Encapsulated in this photo, an evening filled with enlightening discussion and the shared culture of meal. From the hat on the head to the ketchup on the table, it was indeed a night to remember.
BLIP-2 Description:
a group of people sitting at a tableMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
box couch restaurant skibadee computer gift ketchup service court diner food shelf cafeteria container sitting candle counter hardware table pub samurai sign tableware electronics fat card bar refuse dish cafe screen cup beverage reserve dj hat meal utensil fast furniture alcohol dining headgear indoors anyone monitor big cap right
iso
100
metering mode
5
aperture
f/4.5
focal length
33mm
shutter speed
1/160s
camera make
Canon
camera model
lens model
overall
(20.78%)
curation
(66.02%)
highlight visibility
(5.73%)
behavioral
(90.75%)
failure
(-1.37%)
harmonious color
(-2.82%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-41.87%)
intrusive object presence
(-13.60%)
lively color
(-26.05%)
low light
(98.14%)
noise
(-3.49%)
pleasant camera tilt
(-12.03%)
pleasant composition
(-88.72%)
pleasant lighting
(-76.86%)
pleasant pattern
(2.05%)
pleasant perspective
(-11.91%)
pleasant post processing
(-11.74%)
pleasant reflection
(-5.06%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.10%)
tastefully blurred
(-34.79%)
well chosen subject
(-22.77%)
well framed subject
(-33.91%)
well timed shot
(-4.12%)
all
(-15.80%)
* 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-4-0613
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.