Photos | Meeting of the Minds
Peter Michael Escovedo and Sheila E. join a group of 27 people to discuss business at a bustling food court during the 2009 NAMM convention.
BLIP-2 Description:
a group of people sitting at a table with papersChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
pen bracelet cafeteria headgear boy formal urban namm pub food chair footwear cap ring plywood hat wristwatch restaurant furniture sheila court wood shoe bag hardware glasses indoors teen pc wear electronics jewelry screen suit table accessories monitor handbag terry cafe peter michael escovedo laptop computer crowd beanie
Detected Text
iso
1600
metering mode
5
aperture
f/8
focal length
16mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-01-16T14:24:02.560000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(27.66%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.29%)
harmonious color
(-3.16%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-26.10%)
intrusive object presence
(-16.41%)
lively color
(-11.71%)
low light
(8.40%)
noise
(-1.34%)
pleasant camera tilt
(-11.47%)
pleasant composition
(-91.36%)
pleasant lighting
(-36.13%)
pleasant pattern
(3.05%)
pleasant perspective
(-9.09%)
pleasant post processing
(3.59%)
pleasant reflection
(-2.32%)
pleasant symmetry
(0.12%)
sharply focused subject
(0.24%)
tastefully blurred
(-17.48%)
well chosen subject
(-24.22%)
well framed subject
(-45.02%)
well timed shot
(-0.29%)
all
(-9.33%)
* 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.