Photos | Gaming Fun with Friends
A group of seven people enjoying video games together while lounging on a couch in the living room. The electronics setup includes two laptops, a computer monitor, and speakers, as well as a decorative plant and painting.
BLIP-2 Description:
a group of people sitting around a table playing video gamesChronologically 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:
machine couch room decorative substance furniture desk potted laptop hardware screen jeans consumer electronics interior room plant teen tv pc indoors bag accessories pants video gaming footwear building architecture monitor music table boy mobile junglescene painting cup phone computer speakers handbag living television rekognition_c center art keyboard entertainment electronics shoe
Detected Text
date
2002-08-29T14:25:41-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(23.62%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.68%)
failure
(-0.39%)
harmonious color
(-0.16%)
immersiveness
(0.34%)
interaction
(1.00%)
interesting subject
(-55.03%)
intrusive object presence
(-15.50%)
lively color
(-1.07%)
low light
(13.89%)
noise
(-5.74%)
pleasant camera tilt
(-14.92%)
pleasant composition
(-80.71%)
pleasant lighting
(-39.97%)
pleasant pattern
(4.88%)
pleasant perspective
(-17.63%)
pleasant post processing
(-0.52%)
pleasant reflection
(-7.82%)
pleasant symmetry
(0.20%)
sharply focused subject
(0.42%)
tastefully blurred
(1.97%)
well chosen subject
(-37.82%)
well framed subject
(-40.82%)
well timed shot
(-1.07%)
all
(-10.24%)
* 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.