Photos | Group Portrait in a Cozy Living Room
Nine people stand before a bookshelf and cozy furniture in this portrait taken in a stylish living room. The group includes two men, three males, a teen boy, and three adults, all clad in stylish T-shirts and accessories. The warm lighting and comfortable décor make this space feel like home.
BLIP-2 Description:
a group of people standing in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
star lamp couch portrait glasses computer outdoor cabinet shelly teen interior tv shelf book publication t-shirt potted chair document hardware table building junglescene lighting chandelier electronics bravis p magnafide living library dining table boy room bedroom ceiling pants painting plant bed wristwatch screen architecture design substance bookshelf furniture door accessories photography monitor indoors bookcase dining art crissy
Detected Text
overall
(15.36%)
curation
(65.42%)
highlight visibility
(5.53%)
behavioral
(70.51%)
failure
(-0.83%)
harmonious color
(-0.56%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-56.59%)
intrusive object presence
(-18.24%)
lively color
(-3.27%)
low light
(19.51%)
noise
(-29.22%)
pleasant camera tilt
(-16.02%)
pleasant composition
(-82.71%)
pleasant lighting
(-53.47%)
pleasant pattern
(5.32%)
pleasant perspective
(-18.93%)
pleasant post processing
(5.95%)
pleasant reflection
(-5.44%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.10%)
tastefully blurred
(-12.04%)
well chosen subject
(-33.64%)
well framed subject
(-54.64%)
well timed shot
(-11.04%)
all
(-12.62%)
* 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.