Photos | Gathering Around the Table
A crowd of 22 people, including 6 males and 5 men, gather around a dining table with 2 chairs and 2 cups. The urban setting features various accessories such as handbags, hats, and cameras, while books and publications are seen on the tabletop. A fun night at the club captured in 2002.
BLIP-2 Description:
a group of people standing around a table with booksChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
cap room couch press urban furniture desk dining tabletop baby teen wristwatch old indoors bag accessories baseball night club chair pub conference night glasses building cafeteria camera architecture crowd footwear club adultcon party table boy junglescene cup pen restaurant life handbag rekognition_c book hat publication electronics fun shoe
Detected Text
date
2002-11-17T22:35:06-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(23.34%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.98%)
harmonious color
(-3.53%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-51.95%)
intrusive object presence
(-14.14%)
lively color
(-15.93%)
low light
(83.59%)
noise
(-18.14%)
pleasant camera tilt
(-9.97%)
pleasant composition
(-78.86%)
pleasant lighting
(-52.69%)
pleasant pattern
(4.88%)
pleasant perspective
(-6.65%)
pleasant post processing
(2.02%)
pleasant reflection
(2.29%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.20%)
tastefully blurred
(-15.39%)
well chosen subject
(-28.42%)
well framed subject
(-56.88%)
well timed shot
(-8.13%)
all
(-10.87%)
* 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.