AI Data for Radical Members of the South Carolina Legislature | AI Explorer

Machine Generated Data

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

Age	40-48
Gender	Male, 100%
Calm	92.5%
Fear	1.5%
Angry	1.5%
Surprised	1.4%
Sad	1.1%
Disgusted	1.1%
Confused	0.6%
Happy	0.3%

AWS Rekognition

Age	51-59
Gender	Male, 99.9%
Calm	63.9%
Confused	32.2%
Angry	1.3%
Sad	0.8%
Disgusted	0.6%
Surprised	0.5%
Fear	0.5%
Happy	0.1%

AWS Rekognition

Age	39-47
Gender	Male, 99.5%
Calm	99.5%
Fear	0.1%
Sad	0.1%
Confused	0.1%
Angry	0.1%
Disgusted	0.1%
Happy	0%
Surprised	0%

AWS Rekognition

Age	43-51
Gender	Male, 98.6%
Angry	68.8%
Fear	15.5%
Sad	6.4%
Calm	4.4%
Confused	2.7%
Surprised	1.1%
Disgusted	0.9%
Happy	0.3%

AWS Rekognition

Age	37-45
Gender	Male, 100%
Calm	98.9%
Confused	0.3%
Angry	0.3%
Sad	0.2%
Disgusted	0.2%
Surprised	0.1%
Fear	0%
Happy	0%

AWS Rekognition

Age	25-35
Gender	Male, 100%
Calm	70%
Fear	17.1%
Disgusted	5.1%
Sad	2.8%
Confused	1.7%
Surprised	1.4%
Angry	1.2%
Happy	0.7%

AWS Rekognition

Age	41-49
Gender	Male, 99.9%
Calm	92.5%
Fear	3.8%
Angry	2%
Confused	0.7%
Sad	0.4%
Surprised	0.3%
Happy	0.2%
Disgusted	0.1%

AWS Rekognition

Age	40-48
Gender	Male, 100%
Calm	94%
Fear	2.6%
Angry	1.2%
Disgusted	0.8%
Confused	0.7%
Sad	0.3%
Happy	0.2%
Surprised	0.2%

AWS Rekognition

Age	23-33
Gender	Male, 97.4%
Calm	73.4%
Angry	17.5%
Sad	4.4%
Surprised	2%
Fear	1.1%
Confused	0.9%
Happy	0.4%
Disgusted	0.3%

AWS Rekognition

Age	29-39
Gender	Male, 100%
Calm	98.9%
Sad	0.7%
Confused	0.1%
Fear	0.1%
Happy	0%
Angry	0%
Disgusted	0%
Surprised	0%

AWS Rekognition

Age	30-40
Gender	Male, 100%
Calm	59.1%
Disgusted	34.1%
Angry	2.2%
Confused	1.2%
Happy	1.1%
Sad	0.8%
Surprised	0.8%
Fear	0.7%

AWS Rekognition

Age	27-37
Gender	Male, 99.9%
Calm	80.2%
Confused	13.6%
Sad	5.1%
Surprised	0.7%
Angry	0.2%
Fear	0.1%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	45-53
Gender	Male, 99.9%
Calm	90.4%
Confused	4.5%
Disgusted	1.4%
Angry	1.1%
Sad	0.9%
Fear	0.8%
Surprised	0.5%
Happy	0.3%

AWS Rekognition

Age	45-53
Gender	Female, 99.9%
Happy	46.8%
Calm	44.4%
Surprised	3.7%
Angry	1.6%
Confused	1.5%
Fear	1%
Sad	0.6%
Disgusted	0.4%

AWS Rekognition

Age	40-48
Gender	Male, 99.9%
Sad	33%
Angry	28.2%
Calm	22%
Fear	6.6%
Confused	4.8%
Disgusted	2%
Happy	2%
Surprised	1.4%

AWS Rekognition

Age	48-54
Gender	Male, 96.2%
Fear	26.1%
Confused	22.8%
Angry	21.7%
Disgusted	14.9%
Calm	6.2%
Surprised	4.3%
Sad	2.3%
Happy	1.6%

AWS Rekognition

Age	21-29
Gender	Male, 69.8%
Confused	36.9%
Surprised	17.8%
Fear	13.3%
Happy	9.1%
Disgusted	8.6%
Calm	6.1%
Sad	4.2%
Angry	3.9%

AWS Rekognition

Age	23-33
Gender	Male, 85.6%
Calm	46.4%
Happy	21.5%
Angry	19.4%
Fear	6.9%
Sad	3.1%
Confused	1.5%
Disgusted	0.7%
Surprised	0.5%

AWS Rekognition

Age	33-41
Gender	Male, 99.7%
Calm	92.5%
Fear	6.2%
Sad	0.5%
Angry	0.3%
Confused	0.2%
Surprised	0.2%
Disgusted	0.1%
Happy	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 99.7%
Calm	98.2%
Disgusted	0.7%
Sad	0.3%
Angry	0.2%
Confused	0.2%
Fear	0.2%
Surprised	0.1%
Happy	0.1%

AWS Rekognition

Age	31-41
Gender	Male, 100%
Calm	86.9%
Happy	6%
Confused	1.8%
Disgusted	1.5%
Angry	1.2%
Sad	1.2%
Fear	0.7%
Surprised	0.7%

AWS Rekognition

Age	28-38
Gender	Male, 100%
Calm	99.1%
Angry	0.3%
Sad	0.1%
Happy	0.1%
Confused	0.1%
Disgusted	0.1%
Surprised	0.1%
Fear	0%

AWS Rekognition

Age	25-35
Gender	Male, 100%
Calm	99.6%
Confused	0.1%
Disgusted	0.1%
Fear	0.1%
Angry	0.1%
Surprised	0%
Happy	0%
Sad	0%

AWS Rekognition

Age	23-31
Gender	Female, 99.8%
Calm	65.2%
Fear	23.4%
Confused	5.9%
Surprised	2.3%
Angry	1.5%
Disgusted	0.8%
Sad	0.7%
Happy	0.3%

AWS Rekognition

Age	26-36
Gender	Male, 100%
Calm	99.1%
Sad	0.3%
Angry	0.2%
Confused	0.2%
Fear	0.1%
Disgusted	0%
Happy	0%
Surprised	0%

AWS Rekognition

Age	23-33
Gender	Male, 100%
Calm	95.5%
Angry	2%
Confused	0.9%
Disgusted	0.5%
Surprised	0.4%
Happy	0.3%
Sad	0.2%
Fear	0.2%

AWS Rekognition

Age	28-38
Gender	Male, 100%
Calm	61.5%
Angry	26.5%
Confused	3.9%
Fear	2.7%
Surprised	2.1%
Sad	1.5%
Disgusted	1.1%
Happy	0.6%

AWS Rekognition

Age	19-27
Gender	Male, 99.9%
Calm	99.1%
Angry	0.3%
Sad	0.3%
Confused	0.1%
Happy	0%
Fear	0%
Disgusted	0%
Surprised	0%

AWS Rekognition

Age	30-40
Gender	Male, 95.8%
Calm	58.6%
Sad	34.7%
Fear	2.7%
Angry	1.4%
Surprised	0.9%
Disgusted	0.8%
Confused	0.5%
Happy	0.4%

AWS Rekognition

Age	24-34
Gender	Male, 100%
Calm	94.5%
Fear	1.4%
Happy	1.2%
Sad	0.9%
Confused	0.6%
Disgusted	0.6%
Angry	0.5%
Surprised	0.2%

AWS Rekognition

Age	24-34
Gender	Male, 99.9%
Calm	99.4%
Sad	0.3%
Confused	0.1%
Disgusted	0.1%
Angry	0.1%
Happy	0%
Fear	0%
Surprised	0%

AWS Rekognition

Age	39-47
Gender	Male, 100%
Calm	97%
Angry	0.6%
Fear	0.6%
Confused	0.5%
Disgusted	0.5%
Sad	0.4%
Surprised	0.2%
Happy	0.2%

AWS Rekognition

Age	26-36
Gender	Male, 99.8%
Angry	33%
Calm	24.1%
Sad	22.6%
Fear	14%
Confused	3.1%
Surprised	1.7%
Disgusted	0.8%
Happy	0.7%

AWS Rekognition

Age	27-37
Gender	Male, 100%
Calm	59%
Confused	37.8%
Disgusted	1.1%
Surprised	0.7%
Sad	0.5%
Angry	0.3%
Fear	0.3%
Happy	0.2%

AWS Rekognition

Age	40-48
Gender	Female, 56.1%
Calm	79.9%
Sad	10.3%
Confused	3.4%
Surprised	2.4%
Angry	1.6%
Fear	1.2%
Disgusted	0.9%
Happy	0.4%

AWS Rekognition

Age	28-38
Gender	Female, 100%
Fear	51.2%
Surprised	18.2%
Sad	16.3%
Confused	4.6%
Calm	4.4%
Happy	2.5%
Angry	2%
Disgusted	0.9%

AWS Rekognition

Age	26-36
Gender	Male, 100%
Calm	89.2%
Confused	6.3%
Surprised	1.8%
Disgusted	0.7%
Fear	0.6%
Sad	0.5%
Happy	0.5%
Angry	0.4%

AWS Rekognition

Age	35-43
Gender	Male, 98.4%
Sad	42%
Happy	29.6%
Calm	9.2%
Disgusted	6.9%
Angry	6.1%
Confused	3.5%
Fear	1.6%
Surprised	1.1%

AWS Rekognition

Age	25-35
Gender	Male, 100%
Calm	99.5%
Disgusted	0.4%
Happy	0%
Sad	0%
Surprised	0%
Angry	0%
Confused	0%
Fear	0%

AWS Rekognition

Age	37-45
Gender	Male, 100%
Calm	94.2%
Angry	4%
Disgusted	0.5%
Surprised	0.3%
Confused	0.3%
Fear	0.3%
Sad	0.2%
Happy	0.1%

AWS Rekognition

Age	33-41
Gender	Male, 100%
Sad	87.2%
Angry	4.1%
Confused	2.7%
Calm	1.8%
Fear	1.6%
Surprised	1.2%
Disgusted	0.8%
Happy	0.6%

AWS Rekognition

Age	35-43
Gender	Male, 100%
Confused	47.5%
Angry	19.5%
Sad	13.6%
Surprised	12.7%
Calm	3.6%
Fear	1.5%
Disgusted	1.2%
Happy	0.4%

AWS Rekognition

Age	27-37
Gender	Male, 100%
Calm	52.5%
Angry	35.4%
Sad	5.8%
Confused	3.5%
Disgusted	1.1%
Fear	0.9%
Surprised	0.6%
Happy	0.2%

AWS Rekognition

Age	31-41
Gender	Male, 99.3%
Fear	66.1%
Calm	13.6%
Disgusted	10.1%
Confused	4.2%
Happy	2.3%
Sad	1.6%
Angry	1.5%
Surprised	0.6%

AWS Rekognition

Age	45-51
Gender	Male, 99.7%
Happy	38%
Fear	26.7%
Calm	14.5%
Angry	6.7%
Disgusted	4.6%
Sad	3.5%
Surprised	3.1%
Confused	2.9%

AWS Rekognition

Age	43-51
Gender	Male, 99.7%
Angry	54.6%
Confused	15.6%
Calm	14%
Disgusted	13.6%
Surprised	0.8%
Sad	0.8%
Happy	0.4%
Fear	0.3%

AWS Rekognition

Age	25-35
Gender	Male, 100%
Sad	95.6%
Calm	2%
Disgusted	0.7%
Fear	0.7%
Confused	0.5%
Angry	0.3%
Surprised	0.2%
Happy	0.1%

AWS Rekognition

Age	31-41
Gender	Male, 100%
Calm	77.8%
Sad	12.5%
Disgusted	3.7%
Confused	2.1%
Angry	1.2%
Surprised	0.9%
Happy	0.9%
Fear	0.8%

AWS Rekognition

Age	38-46
Gender	Male, 100%
Calm	94.2%
Fear	4.3%
Sad	0.6%
Angry	0.3%
Disgusted	0.2%
Confused	0.2%
Happy	0.1%
Surprised	0.1%

AWS Rekognition

Age	14-22
Gender	Male, 95.7%
Calm	82%
Happy	7.3%
Fear	5.5%
Confused	1.5%
Sad	1.3%
Disgusted	1.1%
Angry	0.7%
Surprised	0.5%

AWS Rekognition

Age	40-48
Gender	Male, 100%
Calm	99.5%
Happy	0.1%
Surprised	0.1%
Sad	0.1%
Angry	0.1%
Fear	0%
Confused	0%
Disgusted	0%

AWS Rekognition

Age	45-51
Gender	Male, 100%
Sad	49.5%
Angry	16.6%
Confused	14%
Calm	11.4%
Surprised	3.1%
Happy	2.4%
Disgusted	1.5%
Fear	1.5%

AWS Rekognition

Age	14-22
Gender	Male, 99.9%
Calm	99.1%
Fear	0.3%
Confused	0.1%
Happy	0.1%
Angry	0.1%
Disgusted	0.1%
Sad	0.1%
Surprised	0.1%

AWS Rekognition

Age	23-31
Gender	Male, 100%
Sad	43.3%
Calm	30.9%
Confused	8.5%
Fear	4.7%
Surprised	4.2%
Angry	3.7%
Happy	2.3%
Disgusted	2.3%

AWS Rekognition

Age	25-35
Gender	Male, 82.8%
Calm	97.4%
Disgusted	1.2%
Happy	0.3%
Confused	0.3%
Sad	0.3%
Fear	0.2%
Angry	0.2%
Surprised	0.2%

AWS Rekognition

Age	22-30
Gender	Male, 99.8%
Calm	87.5%
Sad	5.5%
Confused	3.1%
Angry	0.9%
Disgusted	0.9%
Fear	0.8%
Happy	0.8%
Surprised	0.5%

AWS Rekognition

Age	42-50
Gender	Male, 99.7%
Calm	72.8%
Angry	10.8%
Disgusted	4.5%
Surprised	3.3%
Happy	2.7%
Sad	2.6%
Fear	1.8%
Confused	1.6%

AWS Rekognition

Age	24-34
Gender	Female, 99.4%
Calm	59.1%
Confused	12.5%
Fear	8.3%
Sad	7.5%
Angry	5.7%
Happy	4.2%
Disgusted	1.8%
Surprised	0.9%

AWS Rekognition

Age	29-39
Gender	Male, 99.3%
Calm	65.2%
Disgusted	30.5%
Confused	1.4%
Surprised	0.9%
Happy	0.8%
Angry	0.6%
Sad	0.4%
Fear	0.2%

AWS Rekognition

Age	21-29
Gender	Male, 100%
Disgusted	71.5%
Calm	11.2%
Sad	6.5%
Happy	4.8%
Confused	3.1%
Fear	1.7%
Angry	0.9%
Surprised	0.4%

AWS Rekognition

Age	31-41
Gender	Male, 99.6%
Angry	76.5%
Sad	10.3%
Surprised	3.1%
Calm	2.8%
Disgusted	2.4%
Happy	2.1%
Confused	1.6%
Fear	1.2%

AWS Rekognition

Age	40-48
Gender	Male, 100%
Calm	33.9%
Fear	21.3%
Angry	19.1%
Disgusted	12.8%
Confused	5.9%
Happy	4.6%
Sad	1.4%
Surprised	1%

AWS Rekognition

Age	27-37
Gender	Male, 99.8%
Happy	34.9%
Calm	34.5%
Fear	15.5%
Confused	4.5%
Sad	4.5%
Surprised	2.6%
Angry	2%
Disgusted	1.4%

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	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	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	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	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	Very unlikely
Headwear	Very unlikely
Blurred	Very unlikely

Feature analysis

Amazon

Person

Tie

Poster

Person	96.6%

Person	94.4%

Person	94%

Person	91.7%

Person	91%

Person	85%

Person	79.2%

Person	78.4%

Person	75.1%

Person	74.9%

Person	74.8%

Person	69.2%

Person	66.4%

Person	65.3%

Person	64.1%

Person	64%

Person	63.1%

Person	50.6%

Person	49.8%

Person	47.4%

Person	45.2%

Person	43.1%

Tie	67.6%

Poster	53%

Captions

Microsoft
created on 2022-02-11

a group of people posing for a photo	83.7%

a group of people posing for the camera	83.6%

a group of people posing for a picture	83.5%

Text analysis

Amazon

Entered

the

District

Office

Act

1868,

South

District Court of South Carolina.

Clerk's

Court

Entered according to Act of Congress, in the year 1868,

RADICAL

THE

RADICAL MEMBERS

Carolina.

MEMBERS

year

according

Congress,

OF THE So. CA LEGISLATURE.

by J. (: GIBELS, in the Clerk's Office of the

LEGISLATURE.

So.

GIBELS,

Mult.

Atre

Sudas Moses and 3 F Confedenate

and

Moses

Boozer

Sudas

Confedenate

Praident

Larot

por

Sex

Coor

Fri Sex

Fri

Google

RADICAL MEMBERS OF THE S0. CA LEGISLATURE. Entered ccoičing to Act of Congress, in the year 1868, by J. 6. GIBEIS, in the Clerk's Office of the District Court of South Carolina.

RADICAL

MEMBERS

THE

S0.

LEGISLATURE.

Entered

ccoičing

Act

Congress,

the

year

1868,

GIBEIS,

Clerk's

Office

District

Court

South

Carolina.

Title Radical Members of the South Carolina Legislature	Date 1865-1868
People Artist: J. G. Gibbs, American active mid- to late-19th century	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from Special Collections, Fine Arts Library, Harvard College Library, Bequest of Evert Jansen Wendell, 2010.93

people	99.8

portrait	99.1

woman	98.3

adult	98.1

group	97.8

art	96.7

man	96.5

girl	92.6

music	90.7

child	90.6

many	89.6

vintage	89.5

wear	89.2

bill	88.3

retro	85.4

education	84.6

son	82.7

dress	82.5

old	81.5

illustration	80.9

currency	26

money	23.8

vintage	23.1

old	19.5

finance	19.4

bill	19

retro	18.8

bank	18.8

cash	18.3

paper	18.2

dollar	17.6

business	16.4

wealth	16.1

art	15.7

antique	15.1

decoration	14.8

collection	14.4

exchange	14.3

financial	14.2

symbol	14.1

banking	13.8

ancient	13

design	12.4

gold	12.3

stamp	12

sign	12

close	12

grunge	11.9

frame	11.9

hundred	11.6

culture	11.1

letter	11

pattern	10.9

banknote	10.7

dollars	10.6

one	10.4

texture	10.4

investment	10.1

element	9.9

postmark	9.8

mail	9.6

golden	9.4

savings	9.3

rich	9.3

note	9.2

black	9

religion	8.9

envelope	8.9

icon	8.7

set	8.7

card	8.6

insulating material	8.6

pay	8.6

floral	8.5

wallpaper	8.4

church	8.3

china	8.1

bills	7.8

stained	7.7

man	7.6

post	7.6

commerce	7.5

silhouette	7.4

style	7.4

container	7.4

banner	7.3

aged	7.2

office	7.2

treasury	7.2

face	7.1

male	7.1

Font	84

Art	80.5

Suit	77.7

Rectangle	73

Visual arts	68.5

Illustration	65.3

Paper product	64.5

Event	63.7

Paper	63.4

History	63.2

Room	61.9

Crowd	59

Painting	57.4

Collection	55.2

Team	54.6

Pattern	53.1

Book	52

text	99.7

person	98.4

posing	92.2

clothing	91.1

poster	61.7

man	51

Advertisement	99.9

Collage	99.9

Person	96.6

Human	96.6

Person	94.4

Person	94

Flyer	92.2

Brochure	92.2

Paper	92.2

Person	91.7

Person	91

Person	85

Person	79.2

Person	78.4

Person	75.1

Person	74.9

Person	74.8

Person	69.2

Tie	67.6

Accessories	67.6

Accessory	67.6

Text	66.9

Person	66.4

Person	65.3

Person	64.1

Person	64

Person	63.1

Head	56.1

Poster	53

Person	50.6

Person	49.8

Person	47.4

Person	45.2

Person	43.1

Human Generated Data

Title

Radical Members of the South Carolina Legislature

Date

1865-1868

People

Artist: J. G. Gibbs, American active mid- to late-19th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Special Collections, Fine Arts Library, Harvard College Library, Bequest of Evert Jansen Wendell, 2010.93

Human Generated Data

Title

Radical Members of the South Carolina Legislature

People

Artist: J. G. Gibbs, American active mid- to late-19th century

Date

1865-1868

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from Special Collections, Fine Arts Library, Harvard College Library, Bequest of Evert Jansen Wendell, 2010.93

Machine Generated Data

Tags

Amazoncreated on 2022-02-11

Clarifaicreated on 2023-10-29

Imaggacreated on 2022-02-11

Googlecreated on 2022-02-11

Microsoftcreated on 2022-02-11

Color Analysis

Face analysis

Amazon

Google

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

Amazon
created on 2022-02-11

Clarifai
created on 2023-10-29

Imagga
created on 2022-02-11

Google
created on 2022-02-11

Microsoft
created on 2022-02-11

Microsoft
created on 2022-02-11