AI Data for Untitled (elevated view of guests at tables in large banquet hall) | AI Explorer

AWS Rekognition

Age	30-40
Gender	Male, 98.3%
Happy	92.8%
Sad	2.5%
Angry	2.1%
Fear	1%
Confused	0.6%
Surprised	0.4%
Disgusted	0.4%
Calm	0.2%

AWS Rekognition

Age	59-67
Gender	Male, 95.7%
Happy	99.8%
Fear	0%
Surprised	0%
Angry	0%
Calm	0%
Sad	0%
Confused	0%
Disgusted	0%

AWS Rekognition

Age	13-21
Gender	Female, 99.5%
Calm	99.9%
Sad	0%
Angry	0%
Fear	0%
Surprised	0%
Happy	0%
Confused	0%
Disgusted	0%

AWS Rekognition

Age	54-64
Gender	Female, 99.3%
Happy	94.2%
Confused	1.5%
Angry	1.3%
Calm	1%
Disgusted	0.6%
Sad	0.6%
Surprised	0.4%
Fear	0.2%

AWS Rekognition

Age	49-57
Gender	Male, 100%
Happy	99.6%
Surprised	0.2%
Confused	0.1%
Calm	0%
Fear	0%
Angry	0%
Disgusted	0%
Sad	0%

AWS Rekognition

Age	58-66
Gender	Female, 96.7%
Calm	96.4%
Disgusted	2.6%
Confused	0.3%
Angry	0.2%
Sad	0.2%
Surprised	0.1%
Happy	0.1%
Fear	0.1%

AWS Rekognition

Age	26-36
Gender	Male, 88.3%
Sad	57.5%
Calm	39.1%
Disgusted	1%
Fear	0.7%
Surprised	0.5%
Happy	0.4%
Confused	0.4%
Angry	0.4%

AWS Rekognition

Age	45-53
Gender	Female, 100%
Happy	99.9%
Fear	0.1%
Surprised	0%
Sad	0%
Calm	0%
Angry	0%
Confused	0%
Disgusted	0%

AWS Rekognition

Age	71-81
Gender	Female, 100%
Calm	71.9%
Confused	16.6%
Sad	5.4%
Happy	2%
Fear	1.4%
Surprised	1.3%
Disgusted	0.9%
Angry	0.6%

AWS Rekognition

Age	54-64
Gender	Male, 99.5%
Calm	99.8%
Surprised	0.1%
Confused	0%
Happy	0%
Disgusted	0%
Sad	0%
Angry	0%
Fear	0%

AWS Rekognition

Age	23-33
Gender	Female, 99.9%
Happy	84.5%
Angry	5.8%
Calm	3%
Sad	2.4%
Fear	2.3%
Surprised	1.2%
Disgusted	0.8%
Confused	0.2%

AWS Rekognition

Age	48-56
Gender	Male, 99.9%
Happy	98.8%
Surprised	0.3%
Confused	0.3%
Calm	0.2%
Fear	0.1%
Angry	0.1%
Disgusted	0.1%
Sad	0.1%

AWS Rekognition

Age	51-59
Gender	Male, 100%
Happy	98.3%
Confused	0.5%
Surprised	0.3%
Calm	0.3%
Angry	0.2%
Fear	0.1%
Sad	0.1%
Disgusted	0.1%

AWS Rekognition

Age	30-40
Gender	Female, 100%
Calm	99.4%
Sad	0.3%
Happy	0.1%
Angry	0.1%
Disgusted	0.1%
Surprised	0%
Confused	0%
Fear	0%

AWS Rekognition

Age	29-39
Gender	Male, 84.9%
Happy	73%
Calm	14.9%
Sad	4%
Angry	3%
Confused	1.4%
Disgusted	1.3%
Surprised	1.2%
Fear	1.1%

AWS Rekognition

Age	18-24
Gender	Male, 98.4%
Sad	55.1%
Calm	30.1%
Confused	6.5%
Angry	3.7%
Happy	1.3%
Fear	1.3%
Surprised	1%
Disgusted	1%

AWS Rekognition

Age	26-36
Gender	Female, 99.4%
Confused	46.5%
Fear	20.3%
Calm	12%
Angry	7.2%
Sad	6%
Disgusted	4.7%
Surprised	2.1%
Happy	1.1%

AWS Rekognition

Age	19-27
Gender	Female, 90.9%
Calm	74.3%
Surprised	11.6%
Fear	6.6%
Sad	3.5%
Angry	1.7%
Happy	0.9%
Disgusted	0.8%
Confused	0.7%

AWS Rekognition

Age	4-10
Gender	Female, 61.1%
Calm	95.1%
Surprised	2%
Happy	1%
Sad	1%
Fear	0.3%
Disgusted	0.2%
Confused	0.2%
Angry	0.2%

AWS Rekognition

Age	45-51
Gender	Female, 98.9%
Calm	89.7%
Sad	3.6%
Angry	2.7%
Disgusted	1.7%
Confused	0.8%
Fear	0.7%
Surprised	0.5%
Happy	0.3%

AWS Rekognition

Age	50-58
Gender	Female, 99.9%
Disgusted	30.9%
Calm	21.3%
Sad	13.7%
Fear	11.7%
Surprised	7.8%
Confused	6.3%
Angry	5%
Happy	3.3%

AWS Rekognition

Age	16-22
Gender	Male, 98.9%
Calm	91.5%
Confused	4.7%
Surprised	1%
Disgusted	1%
Sad	0.7%
Angry	0.6%
Happy	0.2%
Fear	0.2%

AWS Rekognition

Age	48-56
Gender	Male, 100%
Happy	82.7%
Calm	13.9%
Sad	0.8%
Angry	0.7%
Surprised	0.6%
Disgusted	0.6%
Confused	0.5%
Fear	0.4%

AWS Rekognition

Age	64-74
Gender	Male, 100%
Sad	77.8%
Calm	10.2%
Confused	4%
Fear	3%
Angry	2.1%
Disgusted	1.9%
Surprised	0.7%
Happy	0.4%

AWS Rekognition

Age	48-56
Gender	Male, 99.9%
Calm	61.3%
Happy	25.6%
Sad	7.2%
Surprised	2.5%
Confused	1.3%
Angry	0.8%
Disgusted	0.7%
Fear	0.6%

AWS Rekognition

Age	53-61
Gender	Female, 99.8%
Happy	99.6%
Fear	0.1%
Surprised	0.1%
Angry	0.1%
Sad	0%
Calm	0%
Confused	0%
Disgusted	0%

AWS Rekognition

Age	23-31
Gender	Male, 97.8%
Calm	98.4%
Sad	1.1%
Happy	0.1%
Fear	0.1%
Confused	0.1%
Surprised	0.1%
Disgusted	0.1%
Angry	0.1%

AWS Rekognition

Age	20-28
Gender	Female, 55.5%
Calm	92.5%
Disgusted	2.9%
Confused	1%
Sad	1%
Surprised	0.8%
Angry	0.7%
Happy	0.6%
Fear	0.4%

AWS Rekognition

Age	41-49
Gender	Male, 88.7%
Happy	88.2%
Calm	6.3%
Sad	1.4%
Disgusted	1%
Confused	0.9%
Fear	0.8%
Surprised	0.7%
Angry	0.6%

AWS Rekognition

Age	54-62
Gender	Male, 97.7%
Calm	82%
Happy	5.1%
Sad	4.3%
Confused	2.9%
Angry	2.1%
Disgusted	1.7%
Surprised	1.4%
Fear	0.4%

AWS Rekognition

Age	35-43
Gender	Male, 96.8%
Happy	93.7%
Calm	1.5%
Surprised	1.5%
Fear	0.7%
Angry	0.7%
Confused	0.7%
Disgusted	0.6%
Sad	0.6%

AWS Rekognition

Age	23-33
Gender	Male, 99.5%
Calm	98.3%
Fear	0.5%
Happy	0.3%
Sad	0.3%
Disgusted	0.2%
Confused	0.2%
Surprised	0.1%
Angry	0.1%

AWS Rekognition

Age	30-40
Gender	Male, 77.2%
Calm	55%
Happy	13.4%
Disgusted	11.7%
Angry	5.3%
Surprised	4.8%
Confused	4.6%
Sad	3.5%
Fear	1.8%

AWS Rekognition

Age	29-39
Gender	Female, 54.7%
Happy	95.3%
Calm	1.4%
Fear	1.1%
Sad	0.8%
Confused	0.5%
Angry	0.3%
Disgusted	0.2%
Surprised	0.2%

AWS Rekognition

Age	23-31
Gender	Male, 53.3%
Happy	46.4%
Calm	17.2%
Sad	14.4%
Fear	14%
Surprised	2.7%
Angry	2.1%
Disgusted	2.1%
Confused	1%

AWS Rekognition

Age	4-10
Gender	Female, 93%
Calm	50.8%
Sad	25.9%
Happy	9.8%
Confused	4%
Angry	3%
Fear	2.9%
Disgusted	2.1%
Surprised	1.5%

AWS Rekognition

Age	18-26
Gender	Male, 66.9%
Calm	81.9%
Happy	4.4%
Disgusted	3.3%
Surprised	3.2%
Sad	3.1%
Fear	2%
Angry	1.6%
Confused	0.5%

AWS Rekognition

Age	23-33
Gender	Female, 100%
Calm	81%
Surprised	8.1%
Confused	7.5%
Angry	1.5%
Disgusted	0.8%
Fear	0.5%
Sad	0.4%
Happy	0.2%

AWS Rekognition

Age	54-64
Gender	Male, 99.7%
Happy	97.3%
Surprised	0.9%
Confused	0.4%
Disgusted	0.4%
Calm	0.4%
Angry	0.2%
Fear	0.2%
Sad	0.2%

AWS Rekognition

Age	58-66
Gender	Male, 98.8%
Calm	81.6%
Confused	7%
Sad	3.4%
Happy	2.4%
Angry	1.8%
Surprised	1.5%
Fear	1.4%
Disgusted	0.9%

AWS Rekognition

Age	7-17
Gender	Male, 54.1%
Calm	83.4%
Happy	4.7%
Sad	3.9%
Confused	2.8%
Surprised	1.5%
Angry	1.4%
Fear	1.2%
Disgusted	1.2%

AWS Rekognition

Age	25-35
Gender	Female, 99.9%
Happy	56.4%
Calm	26.4%
Disgusted	6.8%
Angry	4.9%
Sad	2.2%
Confused	2.1%
Surprised	0.8%
Fear	0.3%

AWS Rekognition

Age	23-31
Gender	Female, 70.1%
Happy	52.8%
Calm	39.7%
Confused	4.2%
Sad	1.5%
Angry	0.7%
Fear	0.4%
Disgusted	0.4%
Surprised	0.3%

AWS Rekognition

Age	16-24
Gender	Male, 99.1%
Calm	80.2%
Happy	12.5%
Disgusted	2.7%
Fear	1.2%
Surprised	1.1%
Sad	1.1%
Confused	0.8%
Angry	0.4%

AWS Rekognition

Age	50-58
Gender	Male, 98.1%
Calm	98.9%
Sad	0.7%
Happy	0.1%
Confused	0.1%
Angry	0.1%
Fear	0.1%
Surprised	0%
Disgusted	0%

AWS Rekognition

Age	18-24
Gender	Female, 78.3%
Calm	96.8%
Happy	1.4%
Sad	1.1%
Confused	0.3%
Angry	0.2%
Disgusted	0.1%
Surprised	0.1%
Fear	0.1%

AWS Rekognition

Age	21-29
Gender	Male, 78.1%
Calm	44.4%
Sad	38.6%
Disgusted	11.1%
Happy	2.6%
Confused	1.1%
Fear	0.9%
Angry	0.8%
Surprised	0.6%

AWS Rekognition

Age	18-26
Gender	Female, 88.2%
Calm	82.2%
Sad	6.2%
Fear	3.5%
Angry	2.6%
Happy	2.3%
Disgusted	1.6%
Surprised	0.9%
Confused	0.7%

AWS Rekognition

Age	12-20
Gender	Male, 89.2%
Calm	82.5%
Sad	5.5%
Disgusted	5%
Happy	3.9%
Surprised	1.2%
Confused	0.9%
Fear	0.5%
Angry	0.5%

AWS Rekognition

Age	20-28
Gender	Female, 94.5%
Fear	41.7%
Confused	20.2%
Sad	16.5%
Surprised	8.9%
Calm	5.5%
Disgusted	5.1%
Happy	1.6%
Angry	0.7%

AWS Rekognition

Age	4-12
Gender	Female, 56.3%
Calm	91.2%
Confused	2.2%
Happy	2.1%
Sad	1.7%
Fear	1%
Surprised	0.8%
Angry	0.5%
Disgusted	0.5%

AWS Rekognition

Age	18-26
Gender	Female, 53.5%
Calm	75.6%
Happy	9.4%
Sad	3.6%
Confused	3.4%
Fear	3.3%
Surprised	2.2%
Disgusted	1.4%
Angry	1.1%

AWS Rekognition

Age	27-37
Gender	Female, 99.9%
Happy	99.5%
Angry	0.1%
Confused	0.1%
Sad	0.1%
Calm	0.1%
Fear	0.1%
Disgusted	0%
Surprised	0%

AWS Rekognition

Age	20-28
Gender	Female, 56.2%
Sad	47.3%
Calm	43.2%
Happy	3.5%
Fear	1.6%
Confused	1.5%
Angry	1.5%
Surprised	0.8%
Disgusted	0.5%

AWS Rekognition

Age	29-39
Gender	Male, 94%
Calm	86.3%
Sad	6.8%
Confused	1.9%
Angry	1.3%
Happy	1.3%
Surprised	1.1%
Fear	0.7%
Disgusted	0.6%

AWS Rekognition

Age	22-30
Gender	Male, 99.9%
Calm	91%
Surprised	2.7%
Confused	2.2%
Disgusted	1.3%
Angry	1.1%
Fear	0.8%
Happy	0.5%
Sad	0.4%

AWS Rekognition

Age	16-24
Gender	Female, 63.8%
Calm	92.9%
Happy	3.1%
Sad	1.5%
Angry	1.2%
Disgusted	0.4%
Surprised	0.3%
Confused	0.3%
Fear	0.2%

AWS Rekognition

Age	6-12
Gender	Male, 65.7%
Sad	57%
Disgusted	18.1%
Calm	14.7%
Confused	4.3%
Angry	2.4%
Happy	1.5%
Surprised	1.2%
Fear	0.9%

AWS Rekognition

Age	6-14
Gender	Female, 55.6%
Happy	66.6%
Calm	23.3%
Sad	5.4%
Disgusted	1.4%
Confused	1.3%
Angry	1%
Surprised	0.6%
Fear	0.4%

AWS Rekognition

Age	16-24
Gender	Male, 97.3%
Calm	49.1%
Sad	14.5%
Confused	11.7%
Angry	10.1%
Happy	9.8%
Fear	2.2%
Disgusted	1.6%
Surprised	0.9%

AWS Rekognition

Age	49-57
Gender	Male, 100%
Happy	99.5%
Calm	0.2%
Surprised	0.1%
Confused	0.1%
Angry	0.1%
Sad	0%
Fear	0%
Disgusted	0%

AWS Rekognition

Age	20-28
Gender	Female, 70.9%
Calm	70.7%
Sad	9%
Fear	8.2%
Confused	4.9%
Surprised	4%
Happy	1.5%
Angry	0.9%
Disgusted	0.8%

AWS Rekognition

Age	6-16
Gender	Male, 94.2%
Calm	73%
Sad	16%
Happy	3.4%
Fear	2.2%
Disgusted	1.7%
Surprised	1.5%
Confused	1.1%
Angry	1.1%

AWS Rekognition

Age	16-24
Gender	Male, 87.7%
Calm	95%
Sad	2.1%
Confused	1.2%
Surprised	0.7%
Happy	0.4%
Disgusted	0.3%
Fear	0.2%
Angry	0.2%

AWS Rekognition

Age	11-19
Gender	Female, 51.5%
Calm	92.7%
Sad	2.8%
Happy	1.7%
Confused	1.7%
Surprised	0.4%
Disgusted	0.3%
Fear	0.3%
Angry	0.3%

AWS Rekognition

Age	24-34
Gender	Male, 71.6%
Sad	44.6%
Fear	33.3%
Calm	12.5%
Confused	2.9%
Happy	2.3%
Disgusted	2.2%
Surprised	1.4%
Angry	0.8%

AWS Rekognition

Age	9-17
Gender	Male, 58.1%
Calm	43.6%
Sad	33.8%
Fear	8.9%
Happy	7%
Confused	3.3%
Angry	1.5%
Disgusted	1%
Surprised	0.8%

AWS Rekognition

Age	22-30
Gender	Female, 85%
Sad	93.7%
Calm	2.3%
Angry	1.9%
Happy	0.6%
Disgusted	0.6%
Fear	0.5%
Confused	0.2%
Surprised	0.2%

Microsoft Cognitive Services

Age	44
Gender	Female

Microsoft Cognitive Services

Age	27
Gender	Female

Microsoft Cognitive Services

Age	56
Gender	Female

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

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

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Likely
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	Likely
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	Very unlikely

Google Vision

Surprise	Very unlikely
Anger	Very unlikely
Sorrow	Very unlikely
Joy	Likely
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 likely
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	Very unlikely
Blurred	Possible

Title Untitled (elevated view of guests at tables in large banquet hall)	Date 1948-1950
People Artist: Martin Schweig, American 20th century	Classification Photographs
Credit Line Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9256

Person	99.4

Human	99.4

Person	99.1

Person	94.8

Person	94.3

Furniture	92.2

Person	92.1

Person	91.3

Person	91.1

People	88.9

Crowd	88.8

Person	86.1

Person	86

Person	79

Party	77.9

Meal	77.8

Food	77.8

Face	75.7

Indoors	75

Clothing	73.4

Apparel	73.4

Gown	70.5

Fashion	70.5

Person	70.4

Restaurant	68

Reception	67.4

Robe	64.2

Person	63.5

Room	63.4

Table	62.5

Portrait	61

Photography	61

Photo	61

Wedding Cake	60.1

Dessert	60.1

Cake	60.1

Audience	60.1

Wedding	58.8

Tablecloth	57.4

Wedding Gown	56.5

Dining Table	56.5

Chair	56

Person	51.1

Person	45.6

people	99.9

group	99.8

many	99.8

group together	98.6

adult	97.4

leader	96.9

woman	96

man	95.8

administration	94.4

wedding	92.3

audience	89.9

ceremony	87.5

several	87.4

crowd	87.3

furniture	82.5

music	80.1

wear	76

dress	75.8

banquet	75.7

chair	75.3

sketch	100

drawing	84.8

representation	59

art	25.5

silhouette	24

grunge	21.3

design	18

retro	15.6

old	15.3

people	15.1

vintage	14.2

man	14.1

business	13.4

black	13.2

cartoon	12.5

graphic	12.4

symbol	12.1

style	11.9

paper	11.3

sign	11.3

clip art	10.2

finance	10.1

person	9.6

pattern	9.6

poster	9.4

line	9.4

decoration	9.4

male	9.2

decorative	9.2

paint	9.1

negative	9

team	9

ancient	8.6

party	8.6

tree	8.5

object	8.1

bank	8.1

history	8.1

businessman	7.9

antique	7.8

men	7.7

money	7.7

draw	7.6

fun	7.5

dollar	7.4

cup	7.2

dirty	7.2

currency	7.2

architecture	7

Table	90.7

Organism	86.1

Black-and-white	85.8

Style	84

Crowd	79.4

Adaptation	79.3

Font	78.5

Chair	77.9

Art	77.7

Event	74.4

Monochrome	71.9

Monochrome photography	70.4

Room	67.9

Photo caption	64.1

Stock photography	62

Illustration	59.1

Rehearsal dinner	58.8

Still life photography	57.8

Visual arts	57.6

Party	56.8

a group of people posing for a photo in front of a crowd	93.8%

a group of people standing in front of a crowd posing for the camera	92.5%

a group of people posing for a photo	92.4%

text	97.5

posing	84.5

old	70.5

person	61.4

team	29.8

crowd	1.8

Human Generated Data

Title

Untitled (elevated view of guests at tables in large banquet hall)

Date

1948-1950

People

Artist: Martin Schweig, American 20th century

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9256

Human Generated Data

Title

Untitled (elevated view of guests at tables in large banquet hall)

People

Artist: Martin Schweig, American 20th century

Date

1948-1950

Classification

Photographs

Credit Line

Harvard Art Museums/Fogg Museum, Transfer from the Carpenter Center for the Visual Arts, American Professional Photographers Collection, 4.2002.9256

Machine Generated Data

Tags

Amazoncreated on 2022-03-25

Clarifaicreated on 2025-01-10

Imaggacreated on 2022-03-25

Googlecreated on 2022-03-25

Microsoftcreated on 2022-03-25

Color Analysis

Face analysis

Amazon

Microsoft

Google

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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AWS Rekognition

AWS Rekognition

AWS Rekognition

AWS Rekognition

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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 2022-03-25

Clarifai
created on 2025-01-10

Imagga
created on 2022-03-25

Google
created on 2022-03-25

Microsoft
created on 2022-03-25

Microsoft
created on 2022-03-25