Photos | Night Club Crowd

Katherine Hull-Kirk and a lively crowd dance under the night sky at a club in Ensenada, Baja California, Mexico, in 2002.
BLIP-2 Description:
a crowd of people at a party with some people dancingMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
bracelet headgear bride urban pub baseball katherine footwear cap wedding hat photos/futura_mexico night club outdoor hull sky shoe bag party mexico old fun club zona junglescene glasses audience disco futura life rekognition_c jewelry kirk accessories night handbag centro lighting part back concert crowd
Detected Text
date
2002-09-23T10:50:36-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(18.19%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.55%)
failure
(-1.42%)
harmonious color
(-1.47%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-55.13%)
intrusive object presence
(-13.11%)
lively color
(-5.13%)
low light
(98.19%)
noise
(-15.67%)
pleasant camera tilt
(-5.16%)
pleasant composition
(-77.83%)
pleasant lighting
(-67.29%)
pleasant pattern
(5.35%)
pleasant perspective
(-8.99%)
pleasant post processing
(1.85%)
pleasant reflection
(2.83%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.17%)
tastefully blurred
(2.03%)
well chosen subject
(-7.35%)
well framed subject
(-62.45%)
well timed shot
(-7.79%)
all
(-11.12%)
* 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.