Photos | Group Portrait in Living Room

Crystal T and Noel A pose for a group portrait with five other individuals in a well-furnished living room, complete with lighting equipment and a tripod. The room features various accessories, including handbags, laptops, and table lamps.
BLIP-2 Description:
a group of people posing for a pictureMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting bedroom tripod couch room cap furniture remote decor potted laptop hardware device screen home lamp plant terry tv summer nothing pc indoors bag accessories belt photography cabinet shirt baseball jewelry video pants glasses building bed architecture necklace camera do-nothing noel a monitor portrait office table junglescene nothing_to_do-nothing_to_do bride control electrical computer handbag living rekognition_c supplies hat crystal microphone july electronics wedding
Detected Text
date
2002-08-29T14:23:30-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(26.00%)
curation
(68.05%)
highlight visibility
(5.73%)
behavioral
(70.58%)
failure
(-0.29%)
harmonious color
(-0.22%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(1.33%)
intrusive object presence
(-22.00%)
lively color
(-4.93%)
low light
(37.21%)
noise
(-16.63%)
pleasant camera tilt
(-10.99%)
pleasant composition
(-69.48%)
pleasant lighting
(-49.98%)
pleasant pattern
(3.88%)
pleasant perspective
(-7.79%)
pleasant post processing
(0.03%)
pleasant reflection
(-1.08%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.12%)
tastefully blurred
(-10.28%)
well chosen subject
(-33.08%)
well framed subject
(-17.10%)
well timed shot
(-2.55%)
all
(-9.10%)
* 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.