Photos | Nightclub Posers
Mayo Okamoto and her companion strike a pose in front of the screen at a lively nightclub in 2002. The youthful energy and urban fashion vibes are evident in the jewelry, accessories, and clothing worn by the group.
BLIP-2 Description:
a man and woman standing in front of a screenMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
advertisement urban night bracelet rodon glasses ring portrait party old footwear bride teen interior mayo okamoto necklace jewelry hardware pub disco wedding junglescene hush electronics shoe nightclub boy bar bar counter room wristwatch screen belt beverage life hat fun club alcohol accessories photography photobombing monitor computer
Detected Text
overall
(27.83%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.61%)
failure
(-0.54%)
harmonious color
(-1.04%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-34.30%)
intrusive object presence
(-13.79%)
lively color
(-14.07%)
low light
(98.97%)
noise
(-13.60%)
pleasant camera tilt
(-7.32%)
pleasant composition
(-71.29%)
pleasant lighting
(-62.11%)
pleasant pattern
(2.22%)
pleasant perspective
(0.92%)
pleasant post processing
(2.44%)
pleasant reflection
(-1.39%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.22%)
tastefully blurred
(-7.26%)
well chosen subject
(-23.43%)
well framed subject
(-25.39%)
well timed shot
(-0.64%)
all
(-9.41%)
* 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.