Photos | A Night Out at the Pub
Tyler Clippard watches the game on one of the three large monitors as a crowd of 35 people enjoy food and drinks at the lively bar.
BLIP-2 Description:
a large television screen in a bar with people sitting at tablesChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
iphone furniture es television hernandez max night tv cafeteria fall cup apple oge computer urban monitor accessories counter rei alcohol trip hat restaurant life seri indoors glove xs hr interior room pub series lighting beverage consumer room machine lamp court ph gms hardware october world ab p leads bar interior games kike food tyler clippard travel screen k glasses crowd postseason bos electronics
Detected Text
iso
320
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/40s
camera make
Apple
camera model
lens model
date
2018-10-26T23:57:02.031000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.35%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.51%)
failure
(-0.83%)
harmonious color
(-2.96%)
immersiveness
(0.27%)
interaction
(1.00%)
interesting subject
(-49.58%)
intrusive object presence
(-24.93%)
lively color
(-22.19%)
low light
(95.26%)
noise
(-13.94%)
pleasant camera tilt
(-10.15%)
pleasant composition
(-83.20%)
pleasant lighting
(-46.97%)
pleasant pattern
(5.25%)
pleasant perspective
(-2.87%)
pleasant post processing
(1.88%)
pleasant reflection
(-4.53%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.20%)
tastefully blurred
(-5.87%)
well chosen subject
(-17.43%)
well framed subject
(-44.90%)
well timed shot
(3.77%)
all
(-9.14%)
* 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.