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
rentable united plot bant net calif pacific sec plan mover firmly rapid new transit bunker pac parking arco floor industrial security hobability podro ก กก future sq alignment document ллл sability garage recently diagram ft construction currently hotel freeway planned mair proposed san office area projects bank downtown center cars probability retail branch res printed text mass map page towers total chart committed venice hill california
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
(10.07%)
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 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.