Photos | Downtown Projects Map
A printed page from a book shows a detailed diagram of downtown projects planned for the year 2017.
BLIP-2 Description:
a map of downtown projects is shown in a bookMetadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
bant map parking projects towers printed floor podro mass transit sq hobability pacific branch california committed future center plan chart mover retail new construction security alignment bank downtown cars calif arco san กก industrial venice page sability planned pac freeway united mair probability hotel total plot area office ก firmly ft proposed rentable hill diagram document text garage sec bunker res currently recently net ллл rapid
Detected Text
1,300,000 2,250 2,500,000 238 2500 700 alignment arco bank bunker bant cars calif california center downtown floor hill hobability hotel i industrial mair mass mover net pac parking pacific people podro probability res retail rapid rentable sability san security towers total transit under united venice area branch committed construction currently firmly freeway ft future garage new of office planned projects proposed recently sec sq ллл ก กก ⑦3
iso
40
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/17s
camera make
Apple
camera model
lens model
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.06%)
failure
(-0.34%)
harmonious color
(-3.30%)
immersiveness
(0.12%)
interaction
(1.00%)
interesting subject
(-86.87%)
intrusive object presence
(-4.96%)
lively color
(10.93%)
low light
(0.10%)
noise
(-3.37%)
pleasant camera tilt
(-7.03%)
pleasant composition
(-29.17%)
pleasant lighting
(6.30%)
pleasant pattern
(4.49%)
pleasant perspective
(2.97%)
pleasant post processing
(-5.06%)
pleasant reflection
(-2.00%)
pleasant symmetry
(0.39%)
sharply focused subject
(0.66%)
tastefully blurred
(2.52%)
well chosen subject
(7.93%)
well framed subject
(-6.26%)
well timed shot
(8.06%)
all
(-0.30%)
* WARNING: The title and caption of this image were generated with AI (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.