Photos | Group Gathering in Cozy Living Room

A group of six people, including two males and a teen boy, sit on comfortable couches and chairs in a warmly lit living room with a dining table and potted plant. The room is filled with a variety of furniture and decor, including two handbags, a hat, and a pair of shoes, creating a cozy and stylish atmosphere.
BLIP-2 Description:
a group of people sitting on couches in a roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture jeans eecue_bday-eecue_bday boy pants necklace plant building portrait chair food footwear sofa baby cap lamp hat eecue living cushion furniture rug coffee bag shoe sitting fashion desk junglescene indoors glasses teen dining winter interior february bread living room jewelry table room accessories couch potted plant home decor photography bday cup handbag
Detected Text
date
2002-08-29T13:29:06-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(15.42%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.74%)
failure
(-0.44%)
harmonious color
(-2.62%)
immersiveness
(0.10%)
interaction
(2.00%)
interesting subject
(-25.85%)
intrusive object presence
(-26.56%)
lively color
(-18.86%)
low light
(67.48%)
noise
(-13.89%)
pleasant camera tilt
(-13.06%)
pleasant composition
(-83.15%)
pleasant lighting
(-72.61%)
pleasant pattern
(2.32%)
pleasant perspective
(-13.46%)
pleasant post processing
(1.18%)
pleasant reflection
(2.74%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.07%)
tastefully blurred
(-4.70%)
well chosen subject
(-29.64%)
well framed subject
(-22.01%)
well timed shot
(3.01%)
all
(-13.38%)
* 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.