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:
instrument cap drinking substance urban furniture baseball cap baby jeans teen wristwatch beverage bag accessories baseball luvmunki chair pub pants bottle night footwear george r musical club kazuya minekura beer counter music party bar boy junglescene cup alcohol handbag eecue headgear hat string fun shoe
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.