Machine Generated Data
Tags
Amazon
created on 2022-01-08
| Person | 99.3 | |
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| Human | 99.3 | |
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| Person | 98.4 | |
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| Person | 98.1 | |
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| Person | 97.7 | |
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| Person | 97.3 | |
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| Person | 97.3 | |
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| Person | 97.1 | |
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| Person | 96.7 | |
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| Person | 96.5 | |
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| Person | 91.3 | |
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| Person | 85.9 | |
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| Person | 85.9 | |
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| Person | 75.2 | |
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| Text | 68.9 | |
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| Car | 68.4 | |
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| Transportation | 68.4 | |
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| Vehicle | 68.4 | |
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| Automobile | 68.4 | |
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| Monitor | 67.2 | |
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| Electronics | 67.2 | |
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| Screen | 67.2 | |
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| Display | 67.2 | |
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| Person | 65.4 | |
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| Shop | 60.5 | |
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| Bakery | 57.2 | |
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Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
| equipment | 49.3 | |
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| sequencer | 38.5 | |
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| film | 37.1 | |
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| negative | 35.7 | |
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| electronic equipment | 31.8 | |
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| apparatus | 31.6 | |
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| city | 19.1 | |
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| photographic paper | 16.8 | |
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| monitor | 16 | |
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| travel | 14.1 | |
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| architecture | 14.1 | |
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| urban | 14 | |
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| business | 13.4 | |
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| building | 13 | |
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| grunge | 12.8 | |
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| screen | 11.9 | |
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| sea | 11.7 | |
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| water | 11.3 | |
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| photographic equipment | 11.2 | |
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| old | 11.1 | |
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| art | 11.1 | |
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| strip | 10.7 | |
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| movie | 10.7 | |
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| retro | 10.6 | |
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| landscape | 10.4 | |
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| light | 10 | |
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| frame | 10 | |
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| vintage | 9.9 | |
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| night | 9.8 | |
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| black | 9.6 | |
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| entertainment | 9.2 | |
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| ocean | 9.1 | |
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| sky | 8.9 | |
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| digital | 8.9 | |
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| cinema | 8.8 | |
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| port | 8.7 | |
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| scene | 8.6 | |
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| construction | 8.5 | |
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| industry | 8.5 | |
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| buildings | 8.5 | |
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| design | 8.4 | |
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| people | 8.4 | |
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| camera | 8.3 | |
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| transportation | 8.1 | |
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| computer | 8 | |
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| river | 8 | |
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| house | 7.5 | |
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| case | 7.4 | |
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| technology | 7.4 | |
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| television | 7.4 | |
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| vacation | 7.4 | |
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| speed | 7.3 | |
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| transport | 7.3 | |
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| equalizer | 7.3 | |
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| border | 7.2 | |
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| landmark | 7.2 | |
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| amplifier | 7 | |
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Google
created on 2022-01-08
| Font | 83.4 | |
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| Adaptation | 79.3 | |
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| Art | 79.2 | |
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| Suit | 78.6 | |
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| Display device | 77.6 | |
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| Electronic device | 75.4 | |
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| Rectangle | 75.3 | |
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| Technology | 73.3 | |
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| Monochrome photography | 72.5 | |
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| Monochrome | 71.1 | |
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| Event | 68 | |
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| Visual arts | 67.2 | |
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| Photographic film | 67 | |
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| History | 66.8 | |
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| Room | 66.5 | |
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| Negative | 64.8 | |
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| Multimedia | 63.9 | |
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| Stock photography | 61.9 | |
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| Advertising | 60.5 | |
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| Photographic paper | 60.4 | |
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Microsoft
created on 2022-01-08
| text | 94 | |
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| indoor | 89.4 | |
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| screenshot | 75.9 | |
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| picture frame | 62.8 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 24-34 |
| Gender | Female, 88.7% |
| Calm | 47% |
| Disgusted | 27.2% |
| Sad | 14.9% |
| Happy | 3.4% |
| Surprised | 3.2% |
| Fear | 1.7% |
| Angry | 1.5% |
| Confused | 1% |
AWS Rekognition
| Age | 6-16 |
| Gender | Male, 94.5% |
| Calm | 79.2% |
| Confused | 9.6% |
| Sad | 5.3% |
| Disgusted | 1.8% |
| Angry | 1.4% |
| Fear | 1.3% |
| Surprised | 0.8% |
| Happy | 0.6% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 95.5% |
| Calm | 84.8% |
| Sad | 8.7% |
| Angry | 2.7% |
| Surprised | 1.2% |
| Disgusted | 1% |
| Confused | 0.8% |
| Fear | 0.4% |
| Happy | 0.4% |
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 97.1% |
| Calm | 97% |
| Angry | 0.7% |
| Happy | 0.7% |
| Sad | 0.5% |
| Fear | 0.3% |
| Disgusted | 0.3% |
| Surprised | 0.2% |
| Confused | 0.2% |
AWS Rekognition
| Age | 19-27 |
| Gender | Male, 87.2% |
| Calm | 77.8% |
| Sad | 8.2% |
| Happy | 3.6% |
| Angry | 3% |
| Surprised | 2.8% |
| Confused | 1.8% |
| Disgusted | 1.5% |
| Fear | 1.5% |
AWS Rekognition
| Age | 18-24 |
| Gender | Male, 100% |
| Calm | 97.7% |
| Sad | 1.1% |
| Happy | 0.4% |
| Angry | 0.4% |
| Confused | 0.3% |
| Fear | 0.1% |
| Disgusted | 0.1% |
| Surprised | 0.1% |
AWS Rekognition
| Age | 12-20 |
| Gender | Male, 97.8% |
| Disgusted | 44.9% |
| Surprised | 20.3% |
| Sad | 14.1% |
| Calm | 10.9% |
| Angry | 5.2% |
| Confused | 2.2% |
| Happy | 1.7% |
| Fear | 0.8% |
AWS Rekognition
| Age | 18-24 |
| Gender | Female, 58.1% |
| Happy | 64.9% |
| Calm | 17.8% |
| Sad | 5.7% |
| Confused | 4.5% |
| Angry | 4% |
| Disgusted | 1.2% |
| Fear | 1% |
| Surprised | 0.9% |
AWS Rekognition
| Age | 19-27 |
| Gender | Female, 71.4% |
| Calm | 68.6% |
| Sad | 11.4% |
| Confused | 11% |
| Angry | 5.1% |
| Surprised | 2% |
| Disgusted | 0.8% |
| Fear | 0.6% |
| Happy | 0.6% |
AWS Rekognition
| Age | 20-28 |
| Gender | Male, 97.8% |
| Calm | 97.3% |
| Sad | 1.4% |
| Happy | 0.4% |
| Surprised | 0.3% |
| Fear | 0.2% |
| Confused | 0.2% |
| Disgusted | 0.1% |
| Angry | 0.1% |
AWS Rekognition
| Age | 16-22 |
| Gender | Male, 99.4% |
| Calm | 85.6% |
| Sad | 7.2% |
| Angry | 2.2% |
| Happy | 1.3% |
| Fear | 1.1% |
| Disgusted | 1% |
| Confused | 0.8% |
| Surprised | 0.7% |
Feature analysis
Categories
Imagga
| cars vehicles | 99.8% | |
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Captions
Microsoft
created on 2022-01-08
| a group of people sitting at a train station | 27.5% | |
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| a group of people standing in front of a store | 27.4% | |
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| a group of people standing in front of a store window | 27.3% | |
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Text analysis
Amazon
14
13
12
SUPER
11
SUPER XX
XX
11:
EASTINAAN
-1
EASTIMA N II:
SUPER XX
13
EASTIMA
N
II:
SUPER
XX
13