Photos | Pub Night with Kenji Haga
Kenji Haga joins a group of 12 people, including 8 males and a teen boy, for a night of drinks and good company at the local pub. The bar counter is filled with beverages and alcohol, while glasses and utensils sit on the dining table. Plants and frames adorn the walls, and a speaker and electronics provide background music.
BLIP-2 Description:
a group of people standing around a barChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2592w x 1944h - (download 4k)
Usage
Dominant Color:
couch restaurant glasses ketchup kenji haga court teen food necklace cafeteria container counter jewelry pub table building tableware electronics defcon tin boy bar room plant rackers dining room cup beverage architecture speaker hat utensil meal beer bottle furniture door frame stauffers alcohol indoors original accessories dining art
flash fired
true
iso
160
metering mode
5
aperture
f/3.5
focal length
7mm
shutter speed
1/40s
camera make
SONY
camera model
overall
(26.90%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.29%)
harmonious color
(3.53%)
immersiveness
(0.05%)
interaction
(1.00%)
interesting subject
(-50.24%)
intrusive object presence
(-34.18%)
lively color
(-2.42%)
low light
(90.33%)
noise
(-4.88%)
pleasant camera tilt
(-11.94%)
pleasant composition
(-90.87%)
pleasant lighting
(-49.39%)
pleasant pattern
(2.93%)
pleasant perspective
(-5.19%)
pleasant post processing
(4.14%)
pleasant reflection
(-1.79%)
pleasant symmetry
(0.15%)
sharply focused subject
(0.10%)
tastefully blurred
(-6.79%)
well chosen subject
(-10.39%)
well framed subject
(-51.76%)
well timed shot
(0.89%)
all
(-8.59%)
* 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.
* 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.