Photos | Nightclub Crowd
Mok stands confidently in front of a lively nightclub crowd, featuring Paul B and five other adults with handbags and accessories, all dressed in urban fashion with jeans and various long-sleeved tops, while a bride-to-be and her entourage celebrate their last night of freedom. The dimly lit interior room is illuminated by various lamps and lighting fixtures, creating the perfect atmosphere for a night out on the town.
BLIP-2 Description:
a man standing in front of a crowd of peopleMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
urban lamp phone dress jeans night portrait old shirt bag bride sessions jacket interior paul progression container counter fashion pub disco mobile phone wedding junglescene lighting photos/progression_sessions electronics handbag nightclub sleeve coat knitwear bar room pants beverage life blouse long sweater club alcohol accessories photography luggage
Detected Text
overall
(31.27%)
curation
(65.60%)
highlight visibility
(5.55%)
behavioral
(70.46%)
failure
(-0.46%)
harmonious color
(-0.14%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-15.42%)
intrusive object presence
(-8.86%)
lively color
(13.34%)
low light
(95.41%)
noise
(-6.62%)
pleasant camera tilt
(-0.65%)
pleasant composition
(-45.51%)
pleasant lighting
(-39.53%)
pleasant pattern
(2.56%)
pleasant perspective
(-1.58%)
pleasant post processing
(2.37%)
pleasant reflection
(4.15%)
pleasant symmetry
(0.10%)
sharply focused subject
(1.12%)
tastefully blurred
(3.13%)
well chosen subject
(-51.37%)
well framed subject
(21.17%)
well timed shot
(-8.76%)
all
(-5.21%)
* 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.