Photos | Red Lanterns Illuminate Bustling Plaza
Michelle de Kretser captures the lively atmosphere of a plaza filled with people holding red lanterns.
BLIP-2 Description:
people are walking around a plaza with red lanternsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
walkway path slate city urban furniture 福 desk container floor jeans vehicle sky teen cafe transportation court mammal indoors bag accessories sidewalk helmet area outdoor animal street chair road pants glasses building footwear camera cafeteria luggage flagstone food michelle de kretser pet dog utensil table boy metropolis coat mobile cup phone restaurant flooring pedestrian handbag bus walking overcoat balloon umbrella canine cloudy town hat electronics shoe
Detected Text
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/397s
camera make
Apple
camera model
lens model
date
2018-03-24T12:49:50.103000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(29.91%)
curation
(50.00%)
highlight visibility
(80.85%)
behavioral
(90.84%)
failure
(-0.61%)
harmonious color
(-0.43%)
immersiveness
(1.07%)
interaction
(1.00%)
interesting subject
(-58.11%)
intrusive object presence
(-3.66%)
lively color
(6.50%)
low light
(9.11%)
noise
(-5.30%)
pleasant camera tilt
(-9.77%)
pleasant composition
(-70.56%)
pleasant lighting
(-23.88%)
pleasant pattern
(20.83%)
pleasant perspective
(-13.78%)
pleasant post processing
(1.46%)
pleasant reflection
(-5.55%)
pleasant symmetry
(0.27%)
sharply focused subject
(0.29%)
tastefully blurred
(-10.93%)
well chosen subject
(-31.71%)
well framed subject
(-75.15%)
well timed shot
(-10.55%)
all
(-6.70%)
* 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.