Photos | The Map of Ving of Nang

A printed page of the Ving of Nang map, charting out the land and its hidden treasures.
BLIP-2 Description:
a map of the ving of nang is displayed on a tableMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
page french vung contour sf plot see astronomy sea scale transverse atlas mercator board various k sources outer low soundings text projection da vacation space approximate document datum white eleven indian asia chart heights no map water topography mean reduced fathoms diagram thus lowest interval nang vietnam level feet shoreline printed symbols meters value abbreviations approximately ff shown
Detected Text
1 10 108 1956 196 1960 1965 20 224 25,000 5000 66 a abbreviations above and approximate approximately asia chart contour da datum eleven fathoms feet ff for french from heights in indian interval k level low lowest mean mercator meters nang no of projection reduced scale sea see shoreline shown soundings sources symbols the thus to topography transverse under value various vietnam vung water
iso
1600
metering mode
5
aperture
f/2.8
focal length
35mm
shutter speed
1/200s
camera make
Canon
camera model
lens model
date
2009-02-19T14:19:16.600000-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(3.10%)
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.08%)
failure
(-2.29%)
harmonious color
(-2.58%)
immersiveness
(0.20%)
interaction
(1.00%)
interesting subject
(-91.06%)
intrusive object presence
(-8.94%)
lively color
(-10.86%)
low light
(3.96%)
noise
(-3.54%)
pleasant camera tilt
(-13.44%)
pleasant composition
(-54.35%)
pleasant lighting
(-40.94%)
pleasant pattern
(2.00%)
pleasant perspective
(-11.37%)
pleasant post processing
(0.31%)
pleasant reflection
(-6.86%)
pleasant symmetry
(0.88%)
sharply focused subject
(1.66%)
tastefully blurred
(11.66%)
well chosen subject
(-4.06%)
well framed subject
(-6.32%)
well timed shot
(-3.89%)
all
(-9.39%)
* 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.