Photos | Nightclub Crowd in Baseball Hats

Li Jing and 22 others hang out in an urban nightclub, sporting baseball caps and chatting amidst disco lighting and alcohol.
BLIP-2 Description:
a crowd of people standing around in a nightclubMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
jeans headgear pants boy necklace urban pub baseball portrait speaker footwear bar cap beverage hat counter baseball cap shoe bag party rednblue old fun club alcohol shirt junglescene glasses teen disco life interior electronics jewelry li jing light respect nightclub accessories room night handbag lighting bassluv photography cup crowd
Detected Text
date
2002-10-04T10:54:24-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(19.73%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.88%)
harmonious color
(-1.40%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-41.85%)
intrusive object presence
(-30.40%)
lively color
(-9.36%)
low light
(99.66%)
noise
(-38.60%)
pleasant camera tilt
(-9.75%)
pleasant composition
(-82.18%)
pleasant lighting
(-74.41%)
pleasant pattern
(4.59%)
pleasant perspective
(-15.10%)
pleasant post processing
(3.46%)
pleasant reflection
(3.02%)
pleasant symmetry
(0.10%)
sharply focused subject
(0.07%)
tastefully blurred
(-7.84%)
well chosen subject
(-34.45%)
well framed subject
(-51.12%)
well timed shot
(-12.12%)
all
(-13.83%)
* 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.