Photos | Gathering Around the Table

Bruce K and a group of five people stand around a table adorned with a lamp, cup, and candle in this snapshot from 2002. The photo captures the intricacies of their long sleeves, jackets, and pants, as well as their handbags and hats, along with the urban setting of the room in which they sit.
BLIP-2 Description:
a group of people standing around a table in a roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
sleeve architecture hollis dining table reception cafeteria jeans pants necklace urban pub building portrait footwear sweater beverage lamp hat restaurant furniture jacket k flooring shoe bruce bag hostel old proper hardware alcohol club coat junglescene indoors candle shirt long electronics jewelry screen table accessories monitor housing lighting photography cup floor computer handbag knitwear
Detected Text
date
2002-10-28T10:24:14-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(16.82%)
curation
(68.00%)
highlight visibility
(5.73%)
behavioral
(70.61%)
failure
(-0.85%)
harmonious color
(-1.73%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-46.80%)
intrusive object presence
(-12.62%)
lively color
(-18.01%)
low light
(94.43%)
noise
(-24.66%)
pleasant camera tilt
(-16.30%)
pleasant composition
(-71.83%)
pleasant lighting
(-59.38%)
pleasant pattern
(6.47%)
pleasant perspective
(-27.03%)
pleasant post processing
(-0.24%)
pleasant reflection
(5.33%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.10%)
tastefully blurred
(-21.07%)
well chosen subject
(-25.59%)
well framed subject
(-35.28%)
well timed shot
(-17.68%)
all
(-13.58%)
* 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.