Photos | Nightclub Crowd
Eugen Spiridonov (third from left) and a group of friends enjoy a night out at a crowded nightclub, sporting various headgear and accessories. 2003.
BLIP-2 Description:
a group of people standing around at a partyMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
beanie urban night bracelet party portrait baby old footwear teen spiridonov respect interior eugen necklace crowd t-shirt pete jewelry baseball cap pub eugen spiridonov junglescene glove shoe outdoors nature nightclub crazyk boy room g wristwatch chamclowder baseball life hat audience club fun accessories photography headgear cap
Detected Text
overall
(19.07%)
curation
(65.58%)
highlight visibility
(5.54%)
behavioral
(70.53%)
failure
(-1.07%)
harmonious color
(-0.94%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-60.50%)
intrusive object presence
(-22.00%)
lively color
(-11.58%)
low light
(92.82%)
noise
(-22.27%)
pleasant camera tilt
(-4.71%)
pleasant composition
(-81.54%)
pleasant lighting
(-61.91%)
pleasant pattern
(1.39%)
pleasant perspective
(-2.10%)
pleasant post processing
(0.97%)
pleasant reflection
(-1.10%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.61%)
tastefully blurred
(-9.51%)
well chosen subject
(-23.74%)
well framed subject
(-28.64%)
well timed shot
(-3.14%)
all
(-11.29%)
* 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.