Photos | Bustling Metropolis
Brenda Fricker takes in the busy streets and impressive architecture of San Francisco on a cloudy day. The bustling intersection showcases the city's transportation, with 14 cars and 3 buses making their way through the urban landscape.
BLIP-2 Description:
a view of a city street with cars and buildingsChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Location:
crossing urban flag street rekognition_c civic plate transportation outdoor metropolitan bag rise path sky crosswalk city od automobile car sidewalk building license skyscraper fricker sign intersection handbag tarmac cloudy freeway neighborhood office area downtown metropolis cityscape road center vehicle beverage symbol architecture machine blue high borigin brenda light bus traffic zebra accessories land
iso
32
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
37.79
longitude
-122.42
shutter speed
1/10526s
camera make
Apple
camera model
overall
(37.16%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.67%)
failure
(-0.39%)
harmonious color
(1.08%)
immersiveness
(4.30%)
interaction
(1.00%)
interesting subject
(-59.91%)
intrusive object presence
(-3.56%)
lively color
(-9.60%)
low light
(25.44%)
noise
(-2.71%)
pleasant camera tilt
(-10.64%)
pleasant composition
(-57.28%)
pleasant lighting
(-37.01%)
pleasant pattern
(6.91%)
pleasant perspective
(14.38%)
pleasant post processing
(-0.81%)
pleasant reflection
(-2.78%)
pleasant symmetry
(1.17%)
sharply focused subject
(0.12%)
tastefully blurred
(0.23%)
well chosen subject
(10.95%)
well framed subject
(-45.36%)
well timed shot
(9.28%)
all
(-1.83%)
* 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.