Photos | Pub Fun with Friends
Joo Hyun-Jung, Dave B, and Dan B enjoy a relaxing evening at a local pub in Long Beach, California in 2015. The cozy interior room and wooden furniture make for a perfect atmosphere to enjoy good company, drinks, and finger foods.
BLIP-2 Description:
two men sitting at a tableChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Location:
beer glass cafeteria joo hyun-jung tableware arch pub arm food portrait bar food court beach beverage plywood lamp wristwatch restaurant furniture counter utensil wood bag drinking hardware dan b dave alcohol shirt glasses indoors long electronics screen table accessories monitor downtown cafe beard part aaaas photography cup computer handbag undershirt
Detected Text
iso
32
metering mode
5
aperture
f/2.2
focal length
4mm
latitude
33.77
longitude
-118.19
shutter speed
1/30s
camera make
Apple
camera model
lens model
date
2015-09-05T18:11:43.932000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(59.28%)
curation
(68.81%)
highlight visibility
(5.79%)
behavioral
(70.58%)
failure
(-0.12%)
harmonious color
(3.18%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(73.10%)
intrusive object presence
(-10.38%)
lively color
(13.34%)
low light
(18.38%)
noise
(-3.27%)
pleasant camera tilt
(1.69%)
pleasant composition
(3.24%)
pleasant lighting
(-2.17%)
pleasant pattern
(3.52%)
pleasant perspective
(18.35%)
pleasant post processing
(2.86%)
pleasant reflection
(0.48%)
pleasant symmetry
(0.71%)
sharply focused subject
(5.57%)
tastefully blurred
(-3.73%)
well chosen subject
(-57.37%)
well framed subject
(71.97%)
well timed shot
(21.55%)
all
(8.19%)
* 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.