Photos | Casual Couple in a Cozy Home Library
Lori H and her partner wearing casual clothes while standing in front of decorative plants and a bookshelf in their cozy home library equipped with computers and multiple handbags. Both smiling and looking happy.
BLIP-2 Description:
a man and a woman are standing in a roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
pc beanie couch lamp jeans portrait glasses hoodie lori h footwear bag cabinet old_eecue jacket shelf necklace earring t-shirt publication book closet potted sweatshirt decorative jewelry hardware happy table building lighting electronics shoe handbag living library coat knitwear room pants plant indoors screen 沒 belt wristwatch architecture baseball hat blouse cupboard bookshelf danny sweater furniture door accessories photography headgear laptop computer monitor bookcase smile cap dining
Detected Text
overall
(29.42%)
curation
(68.53%)
highlight visibility
(5.77%)
behavioral
(70.64%)
failure
(-0.27%)
harmonious color
(-1.48%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-27.56%)
intrusive object presence
(-9.81%)
lively color
(-4.88%)
low light
(69.04%)
noise
(-20.48%)
pleasant camera tilt
(-8.51%)
pleasant composition
(-45.53%)
pleasant lighting
(-46.04%)
pleasant pattern
(4.37%)
pleasant perspective
(-6.93%)
pleasant post processing
(2.04%)
pleasant reflection
(-1.12%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.44%)
tastefully blurred
(-9.20%)
well chosen subject
(-38.79%)
well framed subject
(15.75%)
well timed shot
(-12.16%)
all
(-7.62%)
* 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.