Photos | Printed Document for Book
A typewritten text on a large sheet of paper, most likely a publication, from the album 2005/27 4, dated December 27th, 2004.
BLIP-2 Description:
a large sheet of paper with a typewritten documentChronologically Adjacent
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Metadata
Capture date:
Original Dimensions:
2592w x 1944h - (download 4k)
Usage
Dominant Color:
unnerabood nd ice lader printed iness alpert thes iom book serratol roturned handwriting cats cons children linouri vert irl hin lu menu fancy bu lives coxland rel later thoroughbred tora doiivery con publication erarntion bons page left errin vio lancharl tine supplies no semrtenfron cen icoracken orkl ond office rsised kimbed married document text paper tives ton token g chow bore apain tro
Detected Text
1 2 3.3 4 4.14 5.53 alpert bons con coxland g hin i iness icoracken ice iom later left lives lu may me nd orkl ton tora a an and apain at bore bu by cats cen children chow cons doiivery erarntion errin fancy for had has her in irl kimbed lader lancharl linouri married no ond or rel roturned rsised semrtenfron serratol the then thes thoroughbred tine tives to token tro unnerabood vert vio with yours
iso
200
metering mode
3
white balance
3
aperture
f/3.5
focal length
7mm
shutter speed
1s
camera make
SONY
camera model
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.15%)
failure
(-1.68%)
harmonious color
(-1.06%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-92.97%)
intrusive object presence
(-16.80%)
lively color
(-18.64%)
low light
(11.45%)
noise
(-1.78%)
pleasant camera tilt
(-9.09%)
pleasant composition
(-39.72%)
pleasant lighting
(-36.38%)
pleasant pattern
(2.61%)
pleasant perspective
(13.10%)
pleasant post processing
(-20.70%)
pleasant reflection
(-3.92%)
pleasant symmetry
(0.71%)
sharply focused subject
(1.20%)
tastefully blurred
(2.67%)
well chosen subject
(0.69%)
well framed subject
(3.63%)
well timed shot
(1.67%)
all
(-7.45%)
* 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.