AI Data for Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Conveniences for Women Employees: Women's Dining Room. | AI Explorer

AWS Rekognition

Age	35-43
Gender	Female, 99.9%
Calm	88.6%
Surprised	7%
Fear	6.2%
Sad	3.2%
Disgusted	2.9%
Confused	1.7%
Angry	1.2%
Happy	0.3%

AWS Rekognition

Age	19-27
Gender	Female, 98.3%
Sad	98.3%
Happy	25%
Disgusted	9.5%
Surprised	6.9%
Fear	6.4%
Angry	3.4%
Confused	3%
Calm	1.3%

AWS Rekognition

Age	21-29
Gender	Female, 98.2%
Happy	91%
Surprised	7.3%
Fear	6.4%
Sad	3.5%
Calm	0.8%
Confused	0.5%
Disgusted	0.5%
Angry	0.3%

AWS Rekognition

Age	18-26
Gender	Female, 98.7%
Sad	97.7%
Calm	23.1%
Confused	9.6%
Angry	9.4%
Surprised	6.8%
Fear	6.4%
Disgusted	1.8%
Happy	0.8%

AWS Rekognition

Age	22-30
Gender	Female, 86.8%
Calm	42.1%
Confused	28.5%
Fear	15.7%
Surprised	7.4%
Angry	5.4%
Sad	3.2%
Happy	1.5%
Disgusted	1.4%

AWS Rekognition

Age	20-28
Gender	Female, 63.5%
Fear	97.7%
Surprised	6.5%
Sad	2.2%
Confused	1.6%
Calm	0.4%
Angry	0.1%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	23-31
Gender	Female, 71%
Sad	99.9%
Calm	14.4%
Surprised	6.9%
Fear	6.7%
Disgusted	5.4%
Confused	2.5%
Happy	0.6%
Angry	0.5%

AWS Rekognition

Age	19-27
Gender	Male, 96.5%
Sad	100%
Calm	8.3%
Surprised	6.8%
Fear	6.4%
Disgusted	3.5%
Angry	1.1%
Confused	1%
Happy	0.5%

AWS Rekognition

Age	21-29
Gender	Female, 84.3%
Sad	98.2%
Disgusted	29.4%
Surprised	7.2%
Fear	6.8%
Angry	4.7%
Calm	3.8%
Happy	2%
Confused	1.4%

AWS Rekognition

Age	45-51
Gender	Female, 86.2%
Sad	95.9%
Calm	44.3%
Surprised	6.4%
Fear	6%
Confused	5.2%
Angry	0.5%
Disgusted	0.4%
Happy	0.2%

AWS Rekognition

Age	24-34
Gender	Female, 97.2%
Calm	39.7%
Fear	31.8%
Confused	12.2%
Surprised	9.4%
Angry	4.5%
Happy	3.8%
Sad	2.9%
Disgusted	2.5%

AWS Rekognition

Age	21-29
Gender	Female, 75.6%
Sad	99.8%
Happy	11.2%
Surprised	10.1%
Fear	8.5%
Disgusted	2.4%
Confused	1.7%
Calm	0.7%
Angry	0.5%

AWS Rekognition

Age	18-26
Gender	Male, 79.4%
Calm	96.6%
Surprised	6.3%
Fear	6.2%
Sad	2.3%
Angry	0.7%
Happy	0.6%
Disgusted	0.5%
Confused	0.1%

AWS Rekognition

Age	22-30
Gender	Female, 100%
Sad	100%
Calm	8.9%
Surprised	6.4%
Fear	6.1%
Confused	1.4%
Happy	0.9%
Angry	0.7%
Disgusted	0.5%

AWS Rekognition

Age	52-60
Gender	Female, 99.9%
Calm	68.1%
Happy	18.9%
Surprised	6.9%
Fear	6%
Sad	5.2%
Disgusted	3.3%
Angry	1.2%
Confused	0.5%

AWS Rekognition

Age	31-41
Gender	Female, 96.9%
Disgusted	93.3%
Surprised	6.4%
Fear	5.9%
Angry	3.9%
Sad	2.3%
Confused	1.8%
Calm	0.3%
Happy	0.1%

AWS Rekognition

Age	23-33
Gender	Female, 71.1%
Calm	93.4%
Surprised	6.5%
Fear	6.3%
Sad	3%
Happy	1.2%
Disgusted	0.8%
Angry	0.3%
Confused	0.2%

AWS Rekognition

Age	23-31
Gender	Male, 95.9%
Calm	92.1%
Surprised	7.1%
Fear	6%
Confused	2.4%
Sad	2.4%
Disgusted	1.9%
Happy	0.6%
Angry	0.3%

AWS Rekognition

Age	21-29
Gender	Female, 74.1%
Confused	62.2%
Sad	61.9%
Surprised	7.7%
Fear	6%
Calm	3.1%
Disgusted	0.6%
Angry	0.6%
Happy	0.3%

AWS Rekognition

Age	19-27
Gender	Female, 50.8%
Calm	42.5%
Angry	15.1%
Sad	12.3%
Confused	9.7%
Happy	9.1%
Fear	8.3%
Surprised	7.7%
Disgusted	2.5%

AWS Rekognition

Age	21-29
Gender	Female, 96.7%
Calm	38.2%
Angry	26.5%
Surprised	12.4%
Disgusted	9%
Sad	9%
Fear	7.1%
Happy	3%
Confused	1%

AWS Rekognition

Age	22-30
Gender	Male, 72%
Sad	100%
Surprised	6.5%
Fear	5.9%
Calm	0.6%
Angry	0.2%
Confused	0.1%
Happy	0.1%
Disgusted	0.1%

AWS Rekognition

Age	19-27
Gender	Male, 59.1%
Calm	84.3%
Fear	6.7%
Surprised	6.5%
Angry	4.6%
Sad	3.8%
Confused	1.9%
Happy	1.5%
Disgusted	0.8%

AWS Rekognition

Age	23-33
Gender	Female, 88.2%
Sad	100%
Surprised	6.3%
Fear	6%
Happy	0.3%
Calm	0.2%
Angry	0.1%
Disgusted	0.1%
Confused	0%

AWS Rekognition

Age	24-34
Gender	Male, 99.7%
Calm	77.7%
Fear	8.6%
Sad	8%
Surprised	6.4%
Confused	2.1%
Disgusted	1.6%
Angry	1.4%
Happy	1.2%

AWS Rekognition

Age	20-28
Gender	Female, 67%
Sad	100%
Calm	10%
Surprised	6.3%
Fear	5.9%
Confused	0.6%
Disgusted	0.1%
Angry	0.1%
Happy	0.1%

AWS Rekognition

Age	37-45
Gender	Female, 93%
Confused	36.4%
Disgusted	29.2%
Surprised	12.2%
Calm	9.5%
Fear	7.4%
Sad	6.1%
Angry	4.1%
Happy	0.9%

AWS Rekognition

Age	14-22
Gender	Male, 99.2%
Calm	64.9%
Angry	11.9%
Sad	7.7%
Surprised	6.9%
Fear	6.9%
Confused	5.8%
Disgusted	2.1%
Happy	2.1%

AWS Rekognition

Age	12-20
Gender	Female, 52.1%
Calm	99.2%
Surprised	6.3%
Fear	5.9%
Sad	2.3%
Happy	0.2%
Disgusted	0.1%
Confused	0.1%
Angry	0.1%

AWS Rekognition

Age	23-33
Gender	Female, 92.6%
Sad	100%
Surprised	6.5%
Calm	6.4%
Fear	6%
Confused	1.6%
Happy	0.4%
Disgusted	0.2%
Angry	0.2%

AWS Rekognition

Age	19-27
Gender	Female, 54.6%
Calm	40.6%
Confused	16.9%
Happy	12.8%
Sad	8.7%
Surprised	8.6%
Angry	8%
Fear	7.9%
Disgusted	2.6%

AWS Rekognition

Age	16-24
Gender	Male, 96.9%
Calm	94.4%
Surprised	6.3%
Fear	6.3%
Sad	2.4%
Happy	2%
Angry	0.9%
Confused	0.4%
Disgusted	0.4%

AWS Rekognition

Age	18-24
Gender	Male, 71.7%
Calm	89.6%
Surprised	6.4%
Fear	6%
Happy	4.4%
Sad	3.8%
Confused	0.5%
Angry	0.5%
Disgusted	0.4%

AWS Rekognition

Age	20-28
Gender	Female, 59%
Calm	97.8%
Surprised	6.3%
Fear	6%
Sad	2.5%
Disgusted	0.3%
Confused	0.2%
Angry	0.1%
Happy	0.1%

AWS Rekognition

Age	19-27
Gender	Male, 96.8%
Disgusted	34.8%
Calm	26.8%
Angry	18.3%
Fear	8.4%
Sad	7.9%
Surprised	7%
Happy	2.1%
Confused	1.4%

AWS Rekognition

Age	23-31
Gender	Female, 66.2%
Calm	89.2%
Surprised	6.9%
Fear	6.2%
Sad	3.5%
Confused	3.1%
Happy	0.9%
Angry	0.7%
Disgusted	0.5%

AWS Rekognition

Age	6-14
Gender	Female, 66.7%
Sad	85%
Calm	33.3%
Fear	13.3%
Surprised	8.4%
Happy	3.7%
Angry	3.6%
Disgusted	1.8%
Confused	1.5%

AWS Rekognition

Age	20-28
Gender	Male, 97.4%
Sad	100%
Surprised	6.3%
Fear	6.1%
Angry	0.2%
Calm	0.1%
Disgusted	0.1%
Happy	0.1%
Confused	0.1%

AWS Rekognition

Age	13-21
Gender	Male, 89.6%
Sad	100%
Fear	8.7%
Surprised	6.6%
Calm	1.9%
Angry	0.7%
Disgusted	0.5%
Confused	0.4%
Happy	0.3%

AWS Rekognition

Age	13-21
Gender	Female, 90.9%
Calm	50.9%
Confused	25.7%
Sad	7.6%
Surprised	7%
Fear	6.8%
Happy	5%
Angry	3.5%
Disgusted	1.9%

AWS Rekognition

Age	18-24
Gender	Male, 79.8%
Calm	61.7%
Happy	10.2%
Angry	8.8%
Disgusted	7.5%
Fear	7.5%
Surprised	7.1%
Sad	3.7%
Confused	2.5%

AWS Rekognition

Age	16-24
Gender	Male, 84.3%
Calm	91.7%
Surprised	6.6%
Fear	6%
Sad	3%
Angry	2.6%
Confused	1%
Happy	0.7%
Disgusted	0.5%

AWS Rekognition

Age	18-24
Gender	Female, 55.1%
Calm	76.8%
Happy	7.9%
Sad	6.8%
Surprised	6.5%
Fear	6.3%
Angry	3.2%
Confused	1.1%
Disgusted	0.9%

AWS Rekognition

Age	16-24
Gender	Female, 53.2%
Sad	92%
Calm	31.2%
Fear	7.9%
Happy	7.7%
Surprised	6.8%
Confused	5.1%
Angry	4.7%
Disgusted	1.7%

AWS Rekognition

Age	23-33
Gender	Male, 92.1%
Calm	79.4%
Sad	9.8%
Surprised	6.5%
Fear	6%
Happy	5.2%
Confused	1.5%
Angry	0.9%
Disgusted	0.9%

AWS Rekognition

Age	16-24
Gender	Female, 80%
Calm	91.3%
Surprised	6.5%
Fear	6.1%
Happy	2.8%
Sad	2.7%
Angry	1.4%
Confused	1.1%
Disgusted	0.7%

AWS Rekognition

Age	4-12
Gender	Female, 62%
Sad	84.2%
Calm	52.9%
Fear	6.8%
Surprised	6.5%
Happy	2.8%
Confused	1.6%
Angry	1%
Disgusted	0.5%

AWS Rekognition

Age	14-22
Gender	Female, 81.1%
Calm	90.9%
Surprised	6.5%
Fear	6.1%
Sad	3.2%
Happy	2.6%
Disgusted	1%
Confused	0.9%
Angry	0.8%

AWS Rekognition

Age	48-56
Gender	Male, 98.2%
Happy	77.7%
Surprised	6.7%
Fear	6.3%
Sad	6.1%
Calm	5.8%
Confused	2.9%
Disgusted	2.3%
Angry	1.9%

AWS Rekognition

Age	13-21
Gender	Female, 79.4%
Sad	88.3%
Calm	27.8%
Fear	19.5%
Surprised	9.8%
Confused	3%
Angry	1.1%
Disgusted	0.9%
Happy	0.6%

AWS Rekognition

Age	21-29
Gender	Male, 97.9%
Fear	97.8%
Surprised	6.6%
Sad	2.2%
Calm	0.7%
Angry	0.2%
Disgusted	0.2%
Happy	0.1%
Confused	0.1%

AWS Rekognition

Age	24-34
Gender	Male, 99.7%
Calm	96.6%
Surprised	6.3%
Fear	5.9%
Sad	2.5%
Angry	1.2%
Confused	0.4%
Happy	0.3%
Disgusted	0.1%

AWS Rekognition

Age	18-24
Gender	Female, 68.5%
Calm	49.3%
Fear	16.4%
Disgusted	7.8%
Surprised	7.6%
Angry	6.1%
Happy	5.6%
Sad	5.2%
Confused	5.2%

AWS Rekognition

Age	16-22
Gender	Male, 77.6%
Calm	42%
Surprised	37.7%
Angry	10.2%
Fear	6.6%
Sad	6.2%
Confused	5.9%
Disgusted	4.2%
Happy	2.5%

AWS Rekognition

Age	6-16
Gender	Female, 73.5%
Happy	35.2%
Surprised	15.7%
Angry	13.9%
Disgusted	12.2%
Fear	10%
Sad	8.3%
Calm	5.4%
Confused	2.8%

Google Vision

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

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	Very unlikely

Google Vision

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

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	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

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	Very unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	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	Possible

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	Likely

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	Possible

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 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

Title Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Conveniences for Women Employees: Women's Dining Room.	Date c. 1904
People Artist: Unidentified Artist,	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.A.4

Chair	99.4

Furniture	99.4

Chair	96.9

Chair	96.3

Person	96.2

Human	96.2

Room	96

Indoors	96

Restaurant	95.8

Person	95.2

Person	92.4

Person	91.4

Person	91

Chair	89.7

Person	88.9

Chair	85.8

Person	83.9

Person	83.4

Reception Room	82.9

Waiting Room	82.9

Reception	82.9

Person	82.4

Tablecloth	80.4

Ballroom	80.1

Linen	78.7

Home Decor	78.7

People	77.1

Table	77

Person	76.9

Dining Table	75.2

Person	70.8

Hall	70.6

Food	69.5

Crowd	66.5

Meal	61.7

Cafeteria	58.4

Food Court	55.7

Person	45.8

building	27.2

spectator	26.3

hall	20.3

school	20.2

crowd	17.3

stage	16.3

structure	14.6

landscape	13.4

city	13.3

people	12.3

party	12

design	11.8

group	11.3

life	11

pedestrian	10.9

person	10.8

colorful	10.7

art	10.7

urban	10.5

flowers	10.4

pattern	10.2

park	10.1

man	10.1

silhouette	9.9

music	9.9

travel	9.8

old	9.7

texture	9.7

concert	9.7

architecture	9.4

water	9.3

platform	9.3

event	9.2

male	9.2

painting	9

plant	8.9

color	8.9

floral	8.5

plants	8.3

tourism	8.2

colors	7.9

flamingo	7.9

stall	7.8

flower	7.7

wallpaper	7.7

town	7.4

street	7.4

lake	7.3

business	7.3

wildlife	7.1

surface	7

Table	94.4

Photograph	94.2

Furniture	93.6

White	92.2

Black	89.8

Human	89

Chair	89

Black-and-white	87.2

Style	84.1

Social group	82.9

Monochrome	77.7

Monochrome photography	76.9

Crowd	76.9

Event	75.3

Snapshot	74.3

Suit	71.6

Function hall	69.6

Rehearsal dinner	68.9

Fun	66.7

Room	64.6

person	96.4

text	90.7

clothing	90.1

white	89.1

crowd	82.7

black	76.9

player	71.4

people	70.1

group	64.1

old	60.5

streetview architecture	87.8%

paintings art	7.8%

interior objects	3.5%

a vintage photo of a group of people standing in front of a crowd	87.5%

a group of people standing in front of a crowd	87.4%

a vintage photo of a large crowd of people	87.3%

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Conveniences for Women Employees: Women's Dining Room.

Date

c. 1904

People

Artist: Unidentified Artist,

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.A.4

Human Generated Data

Title

Industrial Problems, Welfare Work: United States. Ohio. Dayton. National Cash Register Company: Welfare Institutions of the National Cash Register Company, Dayton, Ohio: Conveniences for Women Employees: Women's Dining Room.

People

Artist: Unidentified Artist,

Date

c. 1904

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, Social Museum Collection, 3.2002.514.A.4

Machine Generated Data

Tags

Amazoncreated on 2022-06-25

Imaggacreated on 2022-06-25

Googlecreated on 2022-06-25

Microsoftcreated on 2022-06-25

Color Analysis

Face analysis

Amazon

Google

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Amazon
created on 2022-06-25

Imagga
created on 2022-06-25

Google
created on 2022-06-25

Microsoft
created on 2022-06-25

Microsoft
created on 2022-06-25