Photos | Cityscape from the Penthouse

Nadig Kruttika takes in the breathtaking view of the Los Angeles skyline from the rooftop of their building's penthouse, complete with luxurious furniture and accessories.
BLIP-2 Description:
a view of the city from the rooftop of a buildingMetadata
Capture date:
Original Dimensions:
4032w x 3024h - (download 4k)
Usage
Dominant Color:
Location:
architecture wilshire tool property interior room urban pillow building chair speaker penthouse sofa armchair area living condo furniture outdoor one flooring high rise design sky coffee city art foyer bench jewelry district desk glasses indoors metropolis interior cityscape rekognition_c electronics nadig living room table room skyscraper accessories real office couch housing cup floor kruttika
iso
20
metering mode
5
aperture
f/1.8
focal length
4mm
latitude
34.05
longitude
-118.26
shutter speed
1/2907s
camera make
Apple
camera model
lens model
date
2017-07-03T16:31:47.691000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(44.26%)
curation
(50.00%)
highlight visibility
(4.51%)
behavioral
(90.77%)
failure
(-0.32%)
harmonious color
(3.11%)
immersiveness
(5.98%)
interaction
(1.00%)
interesting subject
(-14.65%)
intrusive object presence
(-2.91%)
lively color
(12.81%)
low light
(0.68%)
noise
(-1.49%)
pleasant camera tilt
(-5.95%)
pleasant composition
(-15.27%)
pleasant lighting
(-15.54%)
pleasant pattern
(14.84%)
pleasant perspective
(11.28%)
pleasant post processing
(0.76%)
pleasant reflection
(-5.99%)
pleasant symmetry
(2.81%)
sharply focused subject
(0.27%)
tastefully blurred
(1.64%)
well chosen subject
(-1.17%)
well framed subject
(-30.18%)
well timed shot
(8.34%)
all
(4.61%)
* 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.