Photos | A Visual Journey through the Pages of a Book

A glimpse into a publication from 2008, featuring a beautiful image of a field on one of its pages. #book #document #reading #sfarchives
BLIP-2 Description:
a book is open with a picture of a fieldMetadata
Capture date:
Original Dimensions:
4368w x 2912h - (download 4k)
Usage
Dominant Color:
sod turt comical document put elementa page ind covering tress market natural often practwals winter season buildin figure cost clovers reading used produce rates bary technique vege te archives cover text mixtures no harvesting price protective equire diverted fertilizer tructed book sf publication sf_archives fields ing
Detected Text
13 a and as at bary be buildin clovers comical cost cover covering diverted during elementa equire fertilizer fields figure harvesting ind ing into is market mixtures more most natural no not of often on practwals price produce protective put rates season should sod such te technique the them there these this to tress tructed turt under used vege whenever which winter
iso
1600
metering mode
5
aperture
f/2.8
focal length
70mm
shutter speed
1/640s
camera make
Canon
camera model
lens model
date
2008-01-08T16:38:37-08:00
tzoffset
-28800
tzname
America/Los_Angeles
overall
(11.43%)
curation
(25.00%)
highlight visibility
(1.98%)
behavioral
(10.03%)
failure
(-1.32%)
harmonious color
(-7.13%)
immersiveness
(0.32%)
interaction
(1.00%)
interesting subject
(-90.87%)
intrusive object presence
(-5.86%)
lively color
(-16.46%)
low light
(7.74%)
noise
(-0.39%)
pleasant camera tilt
(-11.08%)
pleasant composition
(-58.69%)
pleasant lighting
(-29.88%)
pleasant pattern
(4.93%)
pleasant perspective
(5.54%)
pleasant post processing
(-0.71%)
pleasant reflection
(0.30%)
pleasant symmetry
(1.64%)
sharply focused subject
(2.86%)
tastefully blurred
(6.54%)
well chosen subject
(-4.57%)
well framed subject
(-4.16%)
well timed shot
(-1.78%)
all
(-6.59%)
* 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.