Photos | The Pink Guardian of the Metropolis
Kim Tai-chung stands tall and proud, dressed in his pink superhero costume, keeping watch over the city under the clear blue sky.
BLIP-2 Description:
a man in a pink costume is standing on a large white squareChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
path speaker shelter city urban outdoors dress activities potted glove dancing civic wear car vehicle sky construction plant fashion transportation downtown formal bag accessories equipment photography gown tower outdoor street road construction crane building footwear architecture church backpack spire portrait office dome metropolis neighborhood kim tai-chung costume handbag walking leisure hat center flag headphones cathedral electronics safety shoe
iso
20
metering mode
5
aperture
f/2.4
focal length
2mm
latitude
37.78
longitude
-122.42
shutter speed
1/1597s
camera make
Apple
camera model
date
2019-11-03T10:58:53.413000-08:00
tzoffset
-28800
tzname
GMT-0800
overall
(49.27%)
curation
(50.00%)
highlight visibility
(80.69%)
behavioral
(70.68%)
failure
(-0.39%)
harmonious color
(6.47%)
immersiveness
(1.90%)
interaction
(1.00%)
interesting subject
(9.56%)
intrusive object presence
(-5.52%)
lively color
(44.48%)
low light
(0.49%)
noise
(-1.73%)
pleasant camera tilt
(-1.16%)
pleasant composition
(-31.42%)
pleasant lighting
(6.65%)
pleasant pattern
(27.76%)
pleasant perspective
(7.35%)
pleasant post processing
(-1.42%)
pleasant reflection
(0.38%)
pleasant symmetry
(0.46%)
sharply focused subject
(0.68%)
tastefully blurred
(-4.83%)
well chosen subject
(-38.31%)
well framed subject
(-11.36%)
well timed shot
(2.92%)
all
(5.91%)
* 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.