Photos | Nightlife Gathering

Shane Koyczan and Bryan H are among the 17 people gathered in a dimly lit nightclub, surrounded by accessories, jewelry, and electronic devices. The crowd enjoys their night out in the city.
BLIP-2 Description:
a crowd of people standing in a dark roomMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Detected Text
date
2003-02-05T15:41:10-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(12.38%)
curation
(65.34%)
highlight visibility
(5.53%)
behavioral
(70.55%)
failure
(-1.20%)
harmonious color
(-1.46%)
immersiveness
(0.07%)
interaction
(1.00%)
interesting subject
(-60.16%)
intrusive object presence
(-16.99%)
lively color
(-1.25%)
low light
(99.95%)
noise
(-29.86%)
pleasant camera tilt
(-11.83%)
pleasant composition
(-82.47%)
pleasant lighting
(-76.03%)
pleasant pattern
(2.71%)
pleasant perspective
(-16.74%)
pleasant post processing
(0.83%)
pleasant reflection
(2.34%)
pleasant symmetry
(0.05%)
sharply focused subject
(0.15%)
tastefully blurred
(-5.56%)
well chosen subject
(-25.24%)
well framed subject
(-55.62%)
well timed shot
(-11.97%)
all
(-14.27%)
* 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.