Photos | Party People

A lively crowd, including Julio César da Silva, James Hiroyuki Liao, Jan-Peter Nikiferow, and Zuoxiao Zuzhou, gathers at a nightclub in 2005. The urban vibe is accentuated by baseball caps and trendy clothing, as well as disco ball and spotlights illuminating the interior room.
BLIP-2 Description:
a crowd of people at a party in a clubMetadata
Capture date:
Original Dimensions:
3504w x 2336h - (download 4k)
Usage
Dominant Color:
bracelet skin jeans interior room pants necklace zuzhou spotlight urban pub baseball bar footwear cap steve j beverage wristwatch hat julio césar da silva counter shoe party bag james art fun night life club alcohol glasses audience disco ball caitanya jewelry light hiroyuki nightclub accessories night handbag tattoo liao part back jan-peter nikiferow crowd zuoxiao
iso
400
metering mode
5
aperture
f/4
focal length
17mm
shutter speed
1/60s
camera make
Canon
camera model
lens model
date
2005-12-30T02:23:45-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(24.44%)
curation
(70.68%)
highlight visibility
(5.93%)
behavioral
(70.58%)
failure
(-0.61%)
harmonious color
(0.00%)
immersiveness
(0.10%)
interaction
(1.00%)
interesting subject
(-69.63%)
intrusive object presence
(-32.20%)
lively color
(-8.77%)
low light
(97.07%)
noise
(-3.22%)
pleasant camera tilt
(-8.65%)
pleasant composition
(-95.51%)
pleasant lighting
(-59.42%)
pleasant pattern
(0.98%)
pleasant perspective
(-1.86%)
pleasant post processing
(5.61%)
pleasant reflection
(5.36%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.15%)
tastefully blurred
(-17.53%)
well chosen subject
(13.94%)
well framed subject
(-66.11%)
well timed shot
(6.86%)
all
(-8.41%)
* 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.
* 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.