Photos | Urban Oasis from Above
A pet dog leans on the balcony fence, taking in the breathtaking view of the cityscape and water body below. The architecture of high-rise buildings and condo complexes blend organically with the natural scenery of hills and mountain ranges surrounding downtown.
BLIP-2 Description:
a view of a city from a balconyMetadata
Capture date:
Original Dimensions:
640w x 480h - (download 4k)
Usage
Dominant Color:
urban street canine scenery mountain animal transportation outdoor water house guard rail roof rise balcony sky cloud fence waterfront weather condo housing city mammal car building railing outdoors cumulus range nature cloudy pet blue sky neighborhood newfoundland office spring downtown metropolis cityscape road peak vehicle landscape high architecture blue apartment shelter hill dog land
flash fired
true
iso
85
metering mode
5
aperture
f/5.6
focal length
6mm
shutter speed
1/400s
camera make
OLYMPUS OPTICAL CO.,LTD
camera model
overall
(41.55%)
curation
(50.00%)
highlight visibility
(4.36%)
behavioral
(70.52%)
failure
(-0.85%)
harmonious color
(-0.84%)
immersiveness
(3.74%)
interaction
(1.00%)
interesting subject
(-47.09%)
intrusive object presence
(-18.58%)
lively color
(-0.06%)
low light
(0.66%)
noise
(-1.46%)
pleasant camera tilt
(-12.89%)
pleasant composition
(-37.43%)
pleasant lighting
(-16.21%)
pleasant pattern
(8.54%)
pleasant perspective
(3.07%)
pleasant post processing
(-2.72%)
pleasant reflection
(-2.94%)
pleasant symmetry
(0.61%)
sharply focused subject
(0.22%)
tastefully blurred
(2.98%)
well chosen subject
(0.97%)
well framed subject
(-16.38%)
well timed shot
(2.48%)
all
(0.22%)
* 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.