Photos | A Cozy Gathering on the Dub-Dub Sofa
Amy K and 11 of her closest friends share a laugh while lounging on the comfortable Dub-Dub sofa, showcasing their stylish clothing and footwear choices.
BLIP-2 Description:
a group of people sitting on a couch togetherChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
architecture costume jeans bride pants necklace formal cat urban building baseball portrait footwear sterling sofa cap wedding beverage outdoors hat dub living furniture k shoe party swimwear james boobookittiefuck jigsaw fun shoes desk alcohol club junglescene glasses indoors shorts wear dub-dub nature jewelry skirt table accessories room blouse night couch laughing photography dress happy cup amy crowd racket peole
Detected Text
date
2002-08-29T13:28:18-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.73%)
curation
(65.50%)
highlight visibility
(5.54%)
behavioral
(70.67%)
failure
(-0.39%)
harmonious color
(-2.94%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(18.81%)
intrusive object presence
(-25.59%)
lively color
(-22.75%)
low light
(91.16%)
noise
(-12.18%)
pleasant camera tilt
(-6.70%)
pleasant composition
(-79.35%)
pleasant lighting
(-71.00%)
pleasant pattern
(0.78%)
pleasant perspective
(7.01%)
pleasant post processing
(5.00%)
pleasant reflection
(4.10%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.24%)
tastefully blurred
(-17.22%)
well chosen subject
(-33.84%)
well framed subject
(15.05%)
well timed shot
(16.16%)
all
(-9.33%)
* 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.