Photos | Martini Lounge Party People
A group of 11 people gathered around a table at the Martini Lounge, sporting various hats and accessories including beanies and glasses. The dimly lit nightclub interior sets the mood for a night of fun and relaxation with free sushi as the main course.
BLIP-2 Description:
a group of people standing around a table at a partyChronologically 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:
headgear necklace urban hoodie pub baseball portrait bar cap beverage sara hat jacket counter bag glove hardware club alcohol coat junglescene glasses disco interior sushi electronics jewelry screen respect accessories nightclub monitor bumrussian room night lighting photography louge martini free computer handbag beanie
Detected Text
date
2002-08-29T12:38:58-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(12.48%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.53%)
failure
(-1.07%)
harmonious color
(-2.12%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-65.87%)
intrusive object presence
(-18.09%)
lively color
(-6.62%)
low light
(99.27%)
noise
(-23.19%)
pleasant camera tilt
(-16.50%)
pleasant composition
(-89.11%)
pleasant lighting
(-78.27%)
pleasant pattern
(2.88%)
pleasant perspective
(-17.54%)
pleasant post processing
(3.45%)
pleasant reflection
(0.03%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.12%)
tastefully blurred
(-4.53%)
well chosen subject
(-18.46%)
well framed subject
(-49.05%)
well timed shot
(-5.25%)
all
(-14.47%)
* 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.