Photos | Two Men in a Cozy Living Room
Two men stand in a room surrounded by consumer electronics, potted plants, and stylish furniture in 2002. They wear casual clothing, including T-shirts and jeans, while lounging on a comfortable couch and chair. The room is lit by a lamp and a chandelier, and a large television screen dominates the space.
BLIP-2 Description:
two men standing in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture dining table door jeans pants plant building portrait music chair lamp wristwatch living furniture entertainment center design television hardware machine dave shirt glasses indoors dining pc interior electronics screen table accessories room monitor t-shirt couch lighting laptop potted chandelier tv photography computer old_eecue undershirt consumer
date
2003-08-19T14:26:35-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(22.61%)
curation
(65.50%)
highlight visibility
(5.69%)
behavioral
(90.72%)
failure
(-1.03%)
harmonious color
(-0.78%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-40.16%)
intrusive object presence
(-8.28%)
lively color
(-17.58%)
low light
(98.78%)
noise
(-59.96%)
pleasant camera tilt
(-14.50%)
pleasant composition
(-57.57%)
pleasant lighting
(-68.16%)
pleasant pattern
(7.69%)
pleasant perspective
(-20.97%)
pleasant post processing
(3.56%)
pleasant reflection
(-1.94%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.12%)
tastefully blurred
(-1.42%)
well chosen subject
(-32.47%)
well framed subject
(-24.78%)
well timed shot
(-17.36%)
all
(-12.70%)
* 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.