Human Generated Data

Title

Copy of Group Shot of Engineering Staff in March 1910

Date

?

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Gift of the Massachusetts Bay Transportation Authority, Boston Transit Collection, 5.2002.626

Human Generated Data

Title

Copy of Group Shot of Engineering Staff in March 1910

People

Artist: Unidentified Artist,

Date

?

Classification

Photographs

Machine Generated Data

Tags

Amazon
created on 2022-06-04

Person 98.6
Human 98.6
Person 98.4
Person 95.7
Interior Design 94.9
Indoors 94.9
Person 90
Person 90
Musician 88
Musical Instrument 88
Leisure Activities 80.9
Crowd 77.5
Music Band 71.9
Advertisement 71.7
Poster 71.7
Person 70.4
Person 70
Person 65.5
People 64.2
Person 57.9
Room 57.2
Stage 56.9
Theater 55.6

Imagga
created on 2022-06-04

billboard 92.6
signboard 76.8
structure 60.8
city 24.1
architecture 22.6
night 19.5
travel 18.3
building 17
urban 16.6
light 16
old 14.6
black 14.4
water 13.3
sky 12.8
vintage 12.4
business 12.1
tower 11.6
art 11.3
modern 11.2
grunge 11.1
sea 10.9
stall 10.9
dark 10.9
transportation 10.8
retro 10.6
downtown 10.6
text 10.5
evening 10.3
famous 10.2
street 10.1
ocean 10
landmark 9.9
wheeled vehicle 9.7
antique 9.5
skyline 9.5
newspaper 9.3
shop 9.3
wagon 9.2
transport 9.1
district 8.7
port 8.7
illuminated 8.6
glass 8.6
decoration 8.5
bridge 8.5
bay 8.5
texture 8.3
tourism 8.2
reflection 8.1
symbol 8.1
financial 8
scene 7.8
daily 7.8
harbor 7.7
panoramic 7.7
outdoor 7.6
dusk 7.6
cityscape 7.6
pattern 7.5
sign 7.5
destination 7.5
town 7.4
television 7.3
design 7.3
dirty 7.2
road 7.2
history 7.2

Google
created on 2022-06-04

Font 84.2
Line 82
Event 72.1
Team 67.4
Photo caption 66.2
Advertising 65.9
Crew 65.5
Music 64.7
Art 63.8
Entertainment 58.6
Machine 53.7
Graphic design 52.2
Photography 51.6
Darkness 51.4
Display device 51.1
Monochrome photography 50.2

Microsoft
created on 2022-06-04

text 99.9
cartoon 86.2
black 80.4
poster 76.9

Face analysis

Amazon

Google

AWS Rekognition

Age 33-41
Gender Male, 98.4%
Happy 87%
Surprised 7.3%
Fear 6.6%
Sad 3.6%
Disgusted 2.6%
Confused 1.2%
Angry 1%
Calm 0.7%

AWS Rekognition

Age 29-39
Gender Male, 98.2%
Calm 92.1%
Fear 6.8%
Surprised 6.6%
Sad 2.8%
Happy 1.6%
Disgusted 0.6%
Confused 0.5%
Angry 0.3%

AWS Rekognition

Age 16-22
Gender Male, 95.4%
Calm 96.4%
Surprised 6.5%
Fear 6.4%
Sad 2.4%
Happy 0.7%
Disgusted 0.2%
Angry 0.2%
Confused 0.1%

AWS Rekognition

Age 29-39
Gender Male, 99.1%
Happy 56.7%
Surprised 17.4%
Calm 14.4%
Fear 7.9%
Disgusted 4.3%
Confused 3.1%
Sad 2.6%
Angry 2%

AWS Rekognition

Age 33-41
Gender Female, 98.4%
Sad 100%
Surprised 6.3%
Fear 6%
Calm 1.9%
Happy 0.1%
Confused 0.1%
Disgusted 0.1%
Angry 0.1%

AWS Rekognition

Age 24-34
Gender Male, 98.1%
Calm 95.9%
Surprised 6.3%
Fear 5.9%
Happy 2.5%
Sad 2.2%
Confused 1%
Disgusted 0.2%
Angry 0.1%

AWS Rekognition

Age 52-60
Gender Male, 99%
Calm 91.8%
Surprised 7.3%
Fear 5.9%
Sad 3.7%
Confused 1.5%
Angry 0.3%
Happy 0.3%
Disgusted 0.3%

AWS Rekognition

Age 23-31
Gender Male, 99.3%
Calm 92.2%
Fear 6.5%
Surprised 6.5%
Sad 2.4%
Disgusted 2.2%
Confused 1.2%
Angry 0.8%
Happy 0.6%

AWS Rekognition

Age 28-38
Gender Female, 61.2%
Happy 48%
Fear 16.7%
Calm 13.4%
Surprised 9.8%
Sad 5.3%
Confused 4.5%
Disgusted 2.6%
Angry 1.9%

AWS Rekognition

Age 13-21
Gender Male, 62.9%
Sad 94.1%
Calm 18.6%
Fear 14.5%
Happy 9.7%
Surprised 7.6%
Angry 4.1%
Confused 3.3%
Disgusted 1.1%

AWS Rekognition

Age 29-39
Gender Female, 58.9%
Happy 83.5%
Calm 8.5%
Surprised 7.2%
Fear 7.1%
Sad 2.5%
Angry 0.9%
Disgusted 0.7%
Confused 0.6%

AWS Rekognition

Age 9-17
Gender Male, 98.3%
Calm 61.2%
Angry 14.2%
Happy 7.9%
Surprised 7.7%
Fear 6.6%
Disgusted 6%
Confused 3.6%
Sad 3.1%

AWS Rekognition

Age 28-38
Gender Male, 98%
Angry 32.2%
Surprised 21.3%
Calm 20.1%
Confused 12.5%
Fear 11.5%
Disgusted 3.9%
Happy 2.6%
Sad 2.6%

AWS Rekognition

Age 14-22
Gender Male, 53.7%
Sad 100%
Surprised 6.3%
Fear 6%
Calm 5%
Confused 0%
Happy 0%
Angry 0%
Disgusted 0%

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very likely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Possible
Headwear Very unlikely
Blurred Very unlikely

Google Vision

Surprise Very unlikely
Anger Very unlikely
Sorrow Very unlikely
Joy Very unlikely
Headwear Very unlikely
Blurred Very unlikely

Feature analysis

Amazon

Person 98.6%
Poster 71.7%

Captions

Microsoft

text 15.3%

Text analysis

Amazon

Brady
R.
14.
Berry
Roper
Burke
Bates
Dyer
Ireland
Hall
Schaffer
1910
Steele
12.
H.W.
28
March 1910
MAIN
510
Welsch
25.
(NAWN)
4.J. R. Dyer
D.
23. H.W. Ireland
9.
March
SUBWAY
ELEVATED
BOSTON
510 MAIN ST.
BOSTON ELEVATED RAILWAY
6.
CAMBRIDGE
16
RAILWAY
F.
S.Peterson
4.J.
B.Moore
23.
5.
26
I.E.C:Houdlette
STAFF
14. W.T.Wiley
P.H.Ladd
R.B.Farwell
5. W.A.Reid
ST.
6. H.O. Welsch
W.A.Reid
G.
17. P.H.Ladd
20
L
10.
27
25. L P. Steele
12. E.Girard
12
W.T.Wiley
17.
19
C.R.Fancy
22
H.O.
27. P. B.Moore
P.
F.J.Hickey
8.H.
11. S.Peterson
7. F. H. Burke
Z.R.D.I Hall
29
24. C.R.Fancy
E.Girard
3
25
23
19.
I.E.C:Houdlette 8.H. Schaffer 15. S.M.Bryant
7.
27.
24.
W.Routenberg
11.
ZZ.A.L.Shedd
28. M. Berry (NAWN)
T.B.Parker
24
19. G. B. Roper
Z.R.D.I
ENGINEERING STAFF
H.
13.J.P.MsCann 20. D. R. Bates
9. R.B.Farwell 16.J.L.MacKnight
3.H. W.Routenberg 10. T.B.Parker
20.
28.
Z9. Е. Brady (NAWN)
15. S.M.Bryant
M.
ENGINEERING
10
21
21.F.W.Huntington Z6. F.J.Hickey
Z9.
B.
Е.
3.H.
Z6.
16.J.L.MacKnight
21.F.W.Huntington
IB.J.W.Bickford
13.J.P.MsCann
.
15

Google

H.O.
Welsch
10.
18.J.W.Bickford
D.
BOSTON
ELEVATED
22.A.L.Shedd
MAIN
March
1910
M.
NAWN
)
2.R.D.
H.
6.
7.
F.
8.H.
Schaffer
R.B.Farwell
P.H.Ladd
E.Girard
13.J.P.
Bates
CAMBRIDGE
ENGINEERING
24.C.R.Fancy
26.
ST
.
P.
B.Moore
Berry
(
I.E.C.Houdlette 2.R.D. Hall 3. H. W.Routenberg 4.J.R. Dyer 5.W.A.Reid 6. H.O. Welsch 7. F. H. Burke 8.H. Schaffer 15.5.M.Bryant 9. R.B.Farwell 16.J.L.MacKnight 10. T.B.Parker 17. P.H.Ladd 11. S.Peterson 18.J.W.Bickford 12. E.Girard 19. G.B.Roper 13.J.P. McCann 20. D. R. Bates 14. W.T. Wiley 21.F.W.Huntington BOSTON ELEVATED RAILWAY CAMBRIDGE SUBWAY ENGINEERING STAFF 22.A.L.Shedd 23. H.W. Ireland 24.C.R.Fancy 25. L.P. Steele 26. F.J.Hickey 510 MAIN ST. March 1910 28 19 27. P. B.Moore. 28. M. Berry (NAWN) 29. E. Brady (NAWN)
Hall
W.Routenberg
15.5.M.Bryant
17.
McCann
20.
14.
Ireland
28
29.
Brady
4.J.R.
Burke
9.
12.
R.
W.T.
21.F.W.Huntington
RAILWAY
23.
H.W.
Steele
F.J.Hickey
28.
E.
I.E.C.Houdlette
3.
Dyer
5.W.A.Reid
16.J.L.MacKnight
T.B.Parker
11.
S.Peterson
19.
G.B.Roper
Wiley
SUBWAY
STAFF
25.
L.P.
510
19
27.