Photos | Ink-Stained Pages
A meticulously crafted book with a wealth of information, each page overflowing with handwritten details and carefully printed text.
BLIP-2 Description:
a piece of paper with a lot of writing on itChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2592w x 1944h - (download 4k)
Usage
Dominant Color:
boors eng hary sar lake later knot istress son ace hill hore franklins three vine wit amanda handwriting ad eligabeti bolen noor publication cenotery charles hemlin st page july calligraphy office document printed buried supplies jene hãy einsylvania bate nothior dec text brothers rguebl four oct aro paper tro fellon nao rescue coch novi book echool chiiaren kno david kent
Detected Text
0210 1 10 13 1315 1317 15 17 20 21 38 a ace ad amanda an and aro b bate bolen boors brothers buried cenotery charles chiiaren coch david dec echool einsylvania eligabeti eng fellon four franklins further hary hemlin hill him his hore hãy in istress jene july kent kno knot lake later n nao noor nothior novi oct of or rescue rguebl sar son st three tro vine wit
iso
200
metering mode
3
white balance
3
aperture
f/3.5
focal length
7mm
shutter speed
1s
camera make
SONY
camera model
date
2004-12-27T02:19:36-08:00
tzoffset
-28800
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.28%)
failure
(-1.10%)
harmonious color
(0.19%)
immersiveness
(0.29%)
interaction
(1.00%)
interesting subject
(-88.62%)
intrusive object presence
(-15.43%)
lively color
(-13.11%)
low light
(11.96%)
noise
(-1.29%)
pleasant camera tilt
(-9.24%)
pleasant composition
(-37.92%)
pleasant lighting
(-27.69%)
pleasant pattern
(4.03%)
pleasant perspective
(16.15%)
pleasant post processing
(-22.79%)
pleasant reflection
(-1.75%)
pleasant symmetry
(0.76%)
sharply focused subject
(2.29%)
tastefully blurred
(5.42%)
well chosen subject
(-11.05%)
well framed subject
(14.17%)
well timed shot
(-4.38%)
all
(-6.79%)
* 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.