Photos | Women's Gathering on a Cozy Couch
Three elegantly dressed women and three bridesmaids enjoy each other's company amid the comfort of their living room, surrounded by stylish decor, including a potted plant and a warm lamp.
BLIP-2 Description:
a group of women sitting on a couchChronologically 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:
lighting couch room speaker cushion decorative heel furniture dress decor potted floor dining sitting blouse jeans home lamp plant high old indoors accessories bag beverage photography jewelry pants chair arrangement glasses wreckignition footwear building architecture necklace portrait interior light table shoes dining table junglescene cup bride flooring handbag living design flower electronics wedding shoe
Detected Text
date
2003-05-05T11:11:36-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(17.26%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.90%)
harmonious color
(-2.53%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-59.52%)
intrusive object presence
(-6.54%)
lively color
(-13.49%)
low light
(97.22%)
noise
(-19.31%)
pleasant camera tilt
(-12.73%)
pleasant composition
(-77.00%)
pleasant lighting
(-61.08%)
pleasant pattern
(3.88%)
pleasant perspective
(-14.55%)
pleasant post processing
(-3.43%)
pleasant reflection
(4.02%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.20%)
tastefully blurred
(-10.34%)
well chosen subject
(-23.60%)
well framed subject
(-48.24%)
well timed shot
(-10.39%)
all
(-12.68%)
* 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.