Photos | Costumed Trio
A woman sits on a chair with a man and woman in costume, showcasing their unique fashion choices at the 2009 NAMM convention.
BLIP-2 Description:
a woman sitting on a chair with a man and a woman in costumeChronologically 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:
baseball glove room furniture namm glove floor hardware screen tattoo teen market skin girl wristwatch indoors accessories bag sign mike ring cosplay baseball interior shop jewelry sport chair pants footwear monitor mark shop interior shorts tone stails bride wood pro sneaker costume flooring handbag ray luzier computer book publication art electronics wedding shoe
iso
1600
metering mode
5
aperture
f/5
focal length
32mm
shutter speed
1/80s
camera make
Canon
camera model
lens model
date
2009-01-16T14:19:44.090000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(39.01%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.64%)
failure
(-0.39%)
harmonious color
(-2.71%)
immersiveness
(0.24%)
interaction
(1.00%)
interesting subject
(-0.84%)
intrusive object presence
(-14.92%)
lively color
(-8.59%)
low light
(13.21%)
noise
(-4.59%)
pleasant camera tilt
(-4.31%)
pleasant composition
(-58.84%)
pleasant lighting
(-23.83%)
pleasant pattern
(5.08%)
pleasant perspective
(-1.83%)
pleasant post processing
(0.95%)
pleasant reflection
(-1.81%)
pleasant symmetry
(0.66%)
sharply focused subject
(1.00%)
tastefully blurred
(-11.55%)
well chosen subject
(-41.21%)
well framed subject
(3.04%)
well timed shot
(2.50%)
all
(-4.58%)
* 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.