Photos | The Bustling Streets of Osaka
A view of the well-paved streets in the heart of Osaka's bustling urban landscape, featuring high-rise apartment buildings, utility poles and road safety equipment, intersecting alleyways, and balconies and windows overlooking the city below.
BLIP-2 Description:
the street is pavedChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
Location:
architecture streets_of_osaka neighborhood urban building apartment window equipment area crosswalk kita condo road outdoor intersection high rise tarmac city pole mall land street japan metropolis path cord alley nakanoshima shopping utility safety balcony downtown trip town corner housing streets residential shop osaka
iso
60
metering mode
5
aperture
f/2.9
focal length
6mm
shutter speed
1/125s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
date
2002-12-31T23:57:11-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(38.99%)
curation
(50.00%)
highlight visibility
(4.35%)
behavioral
(70.34%)
failure
(-0.24%)
harmonious color
(-1.91%)
immersiveness
(2.12%)
interaction
(1.00%)
interesting subject
(-50.68%)
intrusive object presence
(-3.05%)
lively color
(-10.59%)
low light
(0.66%)
noise
(-1.78%)
pleasant camera tilt
(-5.59%)
pleasant composition
(-36.69%)
pleasant lighting
(-18.54%)
pleasant pattern
(17.11%)
pleasant perspective
(20.14%)
pleasant post processing
(-1.45%)
pleasant reflection
(-2.82%)
pleasant symmetry
(4.37%)
sharply focused subject
(0.63%)
tastefully blurred
(-2.68%)
well chosen subject
(-3.23%)
well framed subject
(-20.20%)
well timed shot
(-0.08%)
all
(0.58%)
* NOTE: This image was scaled up from its original size using an AI model called GFP-GAN (Generative Facial Prior), which is a
Generative adversartial network that can be used to repair (or upscale in this case) photos, sometimes the results are a little...
weird.
* 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.