Photos | Thursday Night Frenzy at the Drum n Bass Club

A lively crowd of 12 people filled the nightclub, swaying to the beat of the music spun by the DJ. While some wore fashionable headgear and clothing, others clutched handbags and accessories under the spotlight of the speakers. The urban vibe of the club provided the perfect atmosphere for a night of music, dancing, and drinks.
BLIP-2 Description:
a group of people in a nightclub with a djMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
beverage respect bass bar interior speakers thursday footwear computer rekognition_c lamp alcohol concert urban night disco lighting wedding bag hat necklace speaker counter baseball jewelry junglescene headphones nightclub pub handbag crowd cap hardware headgear light night club music screen electronics drum club room monitor spotlight shoe accessories bride
Detected Text
date
2002-08-29T12:26:07-07:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(18.80%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.55%)
failure
(-0.59%)
harmonious color
(-0.20%)
immersiveness
(0.12%)
interaction
(2.00%)
interesting subject
(-59.96%)
intrusive object presence
(-11.16%)
lively color
(-11.43%)
low light
(94.53%)
noise
(-46.53%)
pleasant camera tilt
(-13.55%)
pleasant composition
(-90.14%)
pleasant lighting
(-70.80%)
pleasant pattern
(3.34%)
pleasant perspective
(-2.63%)
pleasant post processing
(4.90%)
pleasant reflection
(-2.15%)
pleasant symmetry
(0.22%)
sharply focused subject
(0.07%)
tastefully blurred
(-9.94%)
well chosen subject
(1.17%)
well framed subject
(-64.40%)
well timed shot
(-2.15%)
all
(-11.46%)
* 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.