Photos | Metropolitan Intersection
Bill Plaschke and a group of pedestrians pause at a busy intersection in the heart of the city. The vibrant blue sky and modern architecture create the perfect backdrop for this snapshot of urban life.
BLIP-2 Description:
a group of people standing on the street in front of a buildingChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
architecture rise neighborhood hydrant urban building apartment window footwear pedestrian transportation sidewalk hat area condo road outdoor intersection bristol sky tarmac city shoe bag traffic land street fire machine truck bicycle metropolis path helmet bus car vehicle light accessories office high balcony downtown walking town housing automobile license plate bill plaschke residential handbag motorcycle
Detected Text
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/649s
camera make
Apple
camera model
lens model
date
2017-12-16T14:08:47.756000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(41.36%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.60%)
failure
(-0.22%)
harmonious color
(4.80%)
immersiveness
(3.25%)
interaction
(2.00%)
interesting subject
(-34.33%)
intrusive object presence
(-4.39%)
lively color
(3.79%)
low light
(2.81%)
noise
(-0.68%)
pleasant camera tilt
(-11.18%)
pleasant composition
(-42.09%)
pleasant lighting
(-10.55%)
pleasant pattern
(13.89%)
pleasant perspective
(18.88%)
pleasant post processing
(6.62%)
pleasant reflection
(-4.40%)
pleasant symmetry
(0.76%)
sharply focused subject
(0.22%)
tastefully blurred
(-4.46%)
well chosen subject
(-20.17%)
well framed subject
(-43.19%)
well timed shot
(-3.81%)
all
(1.49%)
* 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.