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:
lighting machine room couch furniture chandelier potted laptop dining dave consumer hardware undershirt jeans screen lamp t-shirt plant tv wristwatch pc indoors accessories shirt photography entertainment center chair pants glasses building architecture old_eecue monitor music portrait interior table dining table computer living television design door electronics
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.