Photos | Gathering around the Dining Table
Crystal T and two others enjoy a meal and conversation at a restaurant table. Plates, utensils, and drinking glasses are set out on the table, while containers and furniture can be seen in the background. (Photo taken on September 14, 2002 at 3:00 PM)
BLIP-2 Description:
a group of people sitting at a table with foodChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture cutlery dining table glass cafeteria tableware building meal food portrait chair christal brunch dish beverage hat dinner restaurant furniture utensil court container breakfast drinking bench diner old junglescene indoors lunch tabletop glasses databass dining interior crystal fork table room accessories couch cafe plate photography cup
Detected Text
date
2002-09-15T15:00:09-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(27.73%)
curation
(65.37%)
highlight visibility
(5.53%)
behavioral
(70.67%)
failure
(-0.37%)
harmonious color
(-1.91%)
immersiveness
(0.20%)
interaction
(4.00%)
interesting subject
(-22.90%)
intrusive object presence
(-6.27%)
lively color
(-13.70%)
low light
(45.14%)
noise
(-11.30%)
pleasant camera tilt
(-13.49%)
pleasant composition
(-60.55%)
pleasant lighting
(-46.90%)
pleasant pattern
(12.21%)
pleasant perspective
(-13.61%)
pleasant post processing
(1.13%)
pleasant reflection
(-3.22%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.17%)
tastefully blurred
(-9.92%)
well chosen subject
(-28.13%)
well framed subject
(-24.46%)
well timed shot
(-5.64%)
all
(-8.96%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.