Photos | Party under the Night Sky
A crowd of 16 people, adorned in their finest clothing and headgear, gathered outdoors at a club for a fun night out, captured in this photograph from 2002. Baseball caps, hats, and accessories added to their unique individual styles, while the night sky served as a perfect backdrop.
BLIP-2 Description:
a group of people standing around at a partyChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
lighting cap outdoors urban furniture baseball cap old photos part fun sky old beverage accessories bag belt photography shirt outdoor jewelry chair night glasses unclescene september crowd club concert audience portrait party divine mobile junglescene fall phone alcohol life handbag photos/divine_playground bracelet headgear hat nature electronics playground
Detected Text
date
2002-09-01T14:54:14-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(17.44%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.57%)
failure
(-1.34%)
harmonious color
(-3.30%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-31.03%)
intrusive object presence
(-13.40%)
lively color
(-3.73%)
low light
(99.17%)
noise
(-10.77%)
pleasant camera tilt
(-8.12%)
pleasant composition
(-66.55%)
pleasant lighting
(-72.02%)
pleasant pattern
(2.76%)
pleasant perspective
(-11.85%)
pleasant post processing
(2.87%)
pleasant reflection
(2.87%)
pleasant symmetry
(0.05%)
sharply focused subject
(0.17%)
tastefully blurred
(-15.99%)
well chosen subject
(-34.79%)
well framed subject
(-17.76%)
well timed shot
(-10.46%)
all
(-12.28%)
* 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.