Photos | A Candid Portrait of Two People in Their Living Room
A man and a woman stand amidst a clutter of cardboard boxes and containers, staring out of the window, wearing T-Shirts and accessories. The shelf behind them showcases a variety of items and a cabinet looms in the background, with a dining table and three boxes to the side. This photograph captures a moment in time, in a room filled with furniture, electronics, and personal belongings.
BLIP-2 Description:
a man and a woman standing in a roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
box sliding door delivery computer hardware couch bracelet portrait glasses old window bag cabinet pen interior tv shelf t-shirt container package jewelry carton hardware device table building junglescene electronics handbag living room bedroom photos/world_industries cardboard bed screen world architecture dorm blouse design furniture door accessories photography monitor indoors industries dining
Detected Text
overall
(16.85%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.59%)
failure
(-1.78%)
harmonious color
(-0.30%)
immersiveness
(0.37%)
interaction
(1.00%)
interesting subject
(-58.98%)
intrusive object presence
(-7.59%)
lively color
(-11.98%)
low light
(75.83%)
noise
(-10.57%)
pleasant camera tilt
(-13.98%)
pleasant composition
(-70.65%)
pleasant lighting
(-76.22%)
pleasant pattern
(3.96%)
pleasant perspective
(-8.26%)
pleasant post processing
(2.25%)
pleasant reflection
(-2.71%)
pleasant symmetry
(0.24%)
sharply focused subject
(0.10%)
tastefully blurred
(-23.24%)
well chosen subject
(-29.15%)
well framed subject
(-37.55%)
well timed shot
(-9.67%)
all
(-13.07%)
* 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.