Photos | Timing is Everything
Yasuko Tajima and Dave B keep a watchful eye on their timepieces while enjoying a meal at a restaurant in Long Beach, CA.
BLIP-2 Description:
two men sitting at a table with their hands on their watchesMetadata
Capture date:
Original Dimensions:
3264w x 2448h - (download 4k)
Usage
Location:
united fall wood lamp pine restaurant glasses portrait computer dan bullock entertainment shirt continental dave dinner court interior food states cafeteria ave arm september counter plywood hardware drinking table arch pub yaaaas iphone interior room tableware electronics desk drinking glass dan b helmet bar glass room downtown undershirt wristwatch cup screen beverage cafe ca yasuko tajima beach hat beard utensil long furniture alcohol accessories dining monitor indoors photography apple part california
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
overall
(49.61%)
curation
(68.57%)
highlight visibility
(5.77%)
behavioral
(70.52%)
failure
(-0.20%)
harmonious color
(2.26%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(51.51%)
intrusive object presence
(-21.85%)
lively color
(6.93%)
low light
(13.60%)
noise
(-3.34%)
pleasant camera tilt
(-3.55%)
pleasant composition
(-34.40%)
pleasant lighting
(-15.50%)
pleasant pattern
(2.91%)
pleasant perspective
(7.73%)
pleasant post processing
(2.74%)
pleasant reflection
(-1.26%)
pleasant symmetry
(0.51%)
sharply focused subject
(1.66%)
tastefully blurred
(-7.73%)
well chosen subject
(-51.51%)
well framed subject
(47.92%)
well timed shot
(13.71%)
all
(1.42%)
* 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.