Photos | A Night Out at the Club
Kazuya Minekura and a group of friends enjoy music and drinks while sitting in a bar, sporting their favorite baseball hats and casual clothing.
BLIP-2 Description:
a group of people sitting in a barChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
beer string jeans headgear boy pants urban pub baseball music chair footwear bar baby cap beverage wristwatch hat eecue furniture counter baseball cap bag shoe party drinking fun club alcohol junglescene teen luvmunki accessories musical instrument night george r cup kazuya minekura substance handbag bottle
Detected Text
date
2002-08-29T15:03:10-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(12.13%)
curation
(65.40%)
highlight visibility
(5.53%)
behavioral
(70.56%)
failure
(-1.27%)
harmonious color
(-3.02%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-60.30%)
intrusive object presence
(-14.36%)
lively color
(6.11%)
low light
(95.17%)
noise
(-9.57%)
pleasant camera tilt
(-13.44%)
pleasant composition
(-80.03%)
pleasant lighting
(-68.99%)
pleasant pattern
(2.73%)
pleasant perspective
(-29.66%)
pleasant post processing
(1.76%)
pleasant reflection
(2.30%)
pleasant symmetry
(0.05%)
sharply focused subject
(0.22%)
tastefully blurred
(-13.53%)
well chosen subject
(-29.88%)
well framed subject
(-50.29%)
well timed shot
(-15.08%)
all
(-14.51%)
* 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.