Photos | Urban Panorama - A Glimpse into the City
Taken on December 23rd, 2023, our subject strikes a pose on a city ledge, offering us a captivating snapshot of urban living. Dressed in a chic knitwear ensemble, she bravely overlooks the bustling scenery, showcasing her love for the metropolitan lifestyle. From the parked cars to the rushing waterfront, every element in this photo stunningly blends together, symbolizing the complexity and beauty of a city always on the move. Uncover the mesmerizing blend of nature and citylife in Skyela SF View album.
BLIP-2 Description:
a woman standing on a ledge overlooking a cityChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
6000w x 4000h - (download 4k)
Usage
Dominant Color:
wheel urban scenery portrait transportation outdoor water skyela hoodie eek tire path parking sky jacket lady necklace waterfront view city sports sweatshirt jewelry car skyela b outdoors coupe nature lot coat sleeve neighborhood knitwear plant spoke metropolis road sf vehicle baseball machine blue sunglasses hat long sweater hood accessories photography alloy wheel walking cap hill land
iso
100
metering mode
5
aperture
f/4.5
focal length
24mm
shutter speed
1/400s
camera make
Canon
camera model
lens model
overall
(62.40%)
curation
(66.52%)
highlight visibility
(5.77%)
behavioral
(90.82%)
failure
(-0.27%)
harmonious color
(2.63%)
immersiveness
(0.42%)
interaction
(1.00%)
interesting subject
(36.99%)
intrusive object presence
(-8.98%)
lively color
(-2.28%)
low light
(2.69%)
noise
(-1.29%)
pleasant camera tilt
(-2.45%)
pleasant composition
(16.93%)
pleasant lighting
(7.65%)
pleasant pattern
(3.27%)
pleasant perspective
(14.06%)
pleasant post processing
(1.34%)
pleasant reflection
(-2.17%)
pleasant symmetry
(0.54%)
sharply focused subject
(17.33%)
tastefully blurred
(44.65%)
well chosen subject
(-0.28%)
well framed subject
(73.39%)
well timed shot
(13.38%)
all
(10.98%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-4-0613
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.