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 peopleChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
accessories urban sweater lighting electronics handbag coat sessions bride jeans wedding shirt dress alcohol phone photos/progression_sessions interior junglescene room paul bar photography sleeve container fashion night portrait pants mobile phone club old knitwear nightclub jacket luggage long life bag pub progression beverage counter disco lamp blouse
Detected Text
overall
(31.27%)
curation
(65.60%)
highlight visibility
(5.55%)
behavioral
(70.45%)
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 with AI (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.