Machine Generated Data
Tags
Amazon
created on 2019-06-06
Clarifai
created on 2019-06-06
Imagga
created on 2019-06-06
Google
created on 2019-06-06
Microsoft
created on 2019-06-06
text | 97.7 | |
| ||
whiteboard | 84.3 | |
| ||
screenshot | 64 | |
| ||
parallel | 57.7 | |
|
Color Analysis
Feature analysis
Amazon
Rug | 76.4% | |
|
Text analysis
Amazon
FAMILY
Birthplace
FAMILY Oecupation Earnings Birthplace
Occupation
Naturalized
LDGERS
Earnings
Oecupation
Where
Savings
LDGERS What Where
Speaks
What
BDRS
per
Bos
Pay
and
Age
From
Sex Age OR Pay Sex Age Occupation
Eng.
Sex
to
Others
Mo
How
Would
this
What Where per w'k per yoar and race in U.S. Time in Bos Speaks
Would go
more
usually ?
OR
go
many
Time
How many more usually ? In winter2
where.
in
in U.S.
at
race
at present add. in this dist. From where. to this diat
yoar
w'k
present add.
In winter2
in this dist.
Ch'n.
diat
Occupation Where
Earnings
Birthplace
and race
Time
Speaks
Eng.
FAMILY
per w'k
Naturalized
What
in U.S
in Bos.
per year
Fa.
Mo.
BDRS
Sex
Age
Occupation
Sex
Age
per w'k
What
Where
Ch'n.
LDGERS
1
2
4
6.
Others
in fam.
7
8
How many more usually?
In winter?
Savings
Time at present add. ;
in this dist.
From where, to this dist
Would go to less congested dist., on what conditions ?
Remarks:
Name of family,-fa. and mo.
Information from
Occupation
Where
Earnings
Birthplace
and
race
Time
Speaks
Eng.
FAMILY
per
w'k
Naturalized
What
in
U.S
Bos.
year
Fa.
Mo.
BDRS
Sex
Age
Ch'n.
LDGERS
1
2
4
6.
Others
fam.
7
8
How
many
more
usually?
In
winter?
Savings
at
present
add.
;
this
dist.
From
where,
to
dist
Would
go
less
congested
dist.,
on
what
conditions
?
Remarks:
Name
of
family,-fa.
mo.
from
Information