Photos | Party at the Night Club

Giuseppe Maggio and a crowd of 16 people photobombing each other at a lively nightclub in 2002. From the album Old Photos/progression sessions.
BLIP-2 Description:
a crowd of people standing in a clubMetadata
Capture date:
Original Dimensions:
480w x 640h - (download 4k)
Usage
Dominant Color:
lighting cap room urban photobombing fun old beverage accessories photography sessions night club baseball pub night glasses crowd club giuseppe maggio counter concert audience portrait party bar interior disco junglescene bride nightclub alcohol photos/progression_sessions life progression headgear hat wedding
Detected Text
date
2002-09-19T12:06:41-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(11.07%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.48%)
failure
(-2.29%)
harmonious color
(1.18%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-72.61%)
intrusive object presence
(-25.56%)
lively color
(-0.16%)
low light
(93.70%)
noise
(-8.40%)
pleasant camera tilt
(-9.16%)
pleasant composition
(-87.35%)
pleasant lighting
(-69.92%)
pleasant pattern
(1.44%)
pleasant perspective
(-23.21%)
pleasant post processing
(7.13%)
pleasant reflection
(1.86%)
pleasant symmetry
(0.02%)
sharply focused subject
(0.15%)
tastefully blurred
(-32.64%)
well chosen subject
(-30.22%)
well framed subject
(-58.45%)
well timed shot
(-19.64%)
all
(-14.89%)
* NOTE: Amazon Rekognition
detected a celebrity in this image using the
Celebrity Recognition API. The API isn't perfect, but it does give you the MatchConfidence which I display
next to the celebrity's name along with links _↗ to their info.
* 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.