Photos | Homies' Night In
A group of 10 people, including 6 men, gather around a table in a pub for a chill night in. The room is decked with urban furniture like chairs, couches, and speakers. Amidst the cozy night, the group listens to music and watches television in the background.
BLIP-2 Description:
a group of people sitting around a table in a roomChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
machete headgear cafeteria necklace pants izm urban plant pub baseball chair music footwear bar baby cap beverage hat restaurant furniture counter shoe party upstairs television hardware machine fun club alcohol junglescene indoors disco electronics skyler jewelry screen respect accessories table monitor night couch spring speakers lighting lot homies tv consumer well computer crowd march cinema played
Detected Text
date
2002-08-29T12:42:01-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(14.70%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.71%)
failure
(-0.85%)
harmonious color
(1.20%)
immersiveness
(0.22%)
interaction
(1.00%)
interesting subject
(-50.63%)
intrusive object presence
(-10.67%)
lively color
(-10.48%)
low light
(82.23%)
noise
(-13.21%)
pleasant camera tilt
(-15.83%)
pleasant composition
(-84.96%)
pleasant lighting
(-64.55%)
pleasant pattern
(5.76%)
pleasant perspective
(-11.15%)
pleasant post processing
(2.11%)
pleasant reflection
(4.96%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.10%)
tastefully blurred
(-15.45%)
well chosen subject
(-3.46%)
well framed subject
(-64.60%)
well timed shot
(-7.03%)
all
(-11.58%)
* 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.