Photos | Word-Filled Classroom

The walls of this classroom at Temple Brawerman School are lined with books, publications, and text, creating the perfect environment for a document-loving, bookworm student.
BLIP-2 Description:
a classroom with many words on the wallMetadata
Capture date:
Original Dimensions:
5616w x 3744h - (download 4k)
Usage
Dominant Color:
upon shall put please take try furniture tell saw two play 拼 ten edward stop soon thank wash old round said think wer indoors warm see pretty pull slow together went shelf library sit sleep run pick ride walk wher white temple wbtla well say six seven sing text shoot wish today small 香 school right use start off book want publication brawerman three document 迿
Detected Text
edward not of off old only out over pick play please pretty pull put ride right round run said saw say see seven shall she sing sit six sleep slow small so some soon start stop take tell ten thank that the their them then there these they think those three to today together too try two under upon use very walk want warm was wash we well went wer wher which white who why will wish with 拼 迿 香
iso
1600
metering mode
5
aperture
f/2.8
focal length
25mm
shutter speed
1/800s
camera make
Canon
camera model
lens model
date
2012-05-17T08:32:46.080000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
overall
(30.59%)
curation
(25.00%)
highlight visibility
(2.44%)
behavioral
(70.26%)
failure
(-0.46%)
harmonious color
(7.05%)
immersiveness
(0.17%)
interaction
(1.00%)
interesting subject
(-57.28%)
intrusive object presence
(-8.81%)
lively color
(15.70%)
low light
(0.66%)
noise
(-3.74%)
pleasant camera tilt
(-5.52%)
pleasant composition
(-38.62%)
pleasant lighting
(6.39%)
pleasant pattern
(79.69%)
pleasant perspective
(8.37%)
pleasant post processing
(5.15%)
pleasant reflection
(3.63%)
pleasant symmetry
(1.68%)
sharply focused subject
(0.51%)
tastefully blurred
(1.28%)
well chosen subject
(-8.89%)
well framed subject
(-7.28%)
well timed shot
(-6.54%)
all
(4.66%)
* 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.