Machine Generated Data
Tags
Amazon
created on 2022-01-08
Clarifai
created on 2023-10-25
Imagga
created on 2022-01-08
| musical instrument | 38.8 | |
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| brass | 37 | |
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| architecture | 35.1 | |
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| wind instrument | 31.9 | |
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| history | 31.3 | |
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| sculpture | 30.8 | |
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| building | 27.9 | |
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| old | 27.9 | |
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| monument | 26.1 | |
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| statue | 25.1 | |
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| ancient | 25.1 | |
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| stone | 24.5 | |
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| historic | 23.8 | |
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| tourism | 23.1 | |
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| culture | 23.1 | |
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| travel | 22.5 | |
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| art | 21.2 | |
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| military uniform | 20.2 | |
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| landmark | 19.9 | |
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| religion | 19.7 | |
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| facade | 18.8 | |
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| historical | 18.8 | |
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| uniform | 18.4 | |
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| column | 16.5 | |
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| city | 15.8 | |
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| wall | 15.5 | |
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| window | 15 | |
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| famous | 14.9 | |
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| temple | 13.9 | |
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| church | 13.9 | |
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| marble | 13.7 | |
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| clothing | 11.9 | |
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| cornet | 11.5 | |
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| exterior | 11.1 | |
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| tourist | 11 | |
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| antique | 10.6 | |
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| percussion instrument | 10.4 | |
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| sky | 10.2 | |
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| town | 10.2 | |
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| balcony | 9.7 | |
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| detail | 9.6 | |
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| god | 9.6 | |
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| symbol | 9.4 | |
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| structure | 9.4 | |
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| palace | 9.4 | |
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| accordion | 9.2 | |
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| carving | 9.2 | |
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| device | 9.1 | |
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| memorial | 8.8 | |
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| house | 8.8 | |
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| marimba | 8.7 | |
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| arch | 8.7 | |
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| roof | 8.6 | |
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| keyboard instrument | 8.4 | |
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| covering | 8.1 | |
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| consumer goods | 8.1 | |
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| day | 7.8 | |
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| heritage | 7.7 | |
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| classical | 7.6 | |
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| capital | 7.6 | |
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| buildings | 7.6 | |
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| destination | 7.5 | |
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| people | 7.2 | |
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| decoration | 7 | |
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Google
created on 2022-01-08
| Rectangle | 89.8 | |
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| Wood | 84 | |
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| Tints and shades | 77 | |
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| Vintage clothing | 71 | |
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| Photographic film | 69 | |
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| Room | 68.2 | |
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| Suit | 67.7 | |
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| History | 65.9 | |
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| Stock photography | 63.9 | |
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| Art | 63.2 | |
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| Visual arts | 63.1 | |
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| Font | 62.1 | |
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| Negative | 61.5 | |
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| Photographic paper | 60 | |
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| Collection | 55.8 | |
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| Chair | 54.8 | |
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| Interior design | 51.7 | |
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Color Analysis
Face analysis
Amazon
AWS Rekognition
| Age | 23-31 |
| Gender | Male, 97.8% |
| Calm | 63.1% |
| Sad | 25.2% |
| Fear | 3.2% |
| Angry | 2.2% |
| Confused | 2.1% |
| Disgusted | 2% |
| Happy | 1.4% |
| Surprised | 0.8% |
AWS Rekognition
| Age | 37-45 |
| Gender | Male, 73.4% |
| Calm | 68.8% |
| Sad | 19.5% |
| Happy | 8.2% |
| Confused | 1.8% |
| Disgusted | 0.6% |
| Angry | 0.5% |
| Fear | 0.3% |
| Surprised | 0.3% |
AWS Rekognition
| Age | 25-35 |
| Gender | Male, 99.7% |
| Calm | 87.5% |
| Sad | 4.6% |
| Happy | 2.6% |
| Disgusted | 1.8% |
| Fear | 1.5% |
| Angry | 1% |
| Surprised | 0.6% |
| Confused | 0.5% |
AWS Rekognition
| Age | 1-7 |
| Gender | Female, 81.3% |
| Calm | 68.5% |
| Confused | 9.7% |
| Angry | 6.2% |
| Happy | 4.4% |
| Sad | 4% |
| Surprised | 3% |
| Disgusted | 2.8% |
| Fear | 1.4% |
AWS Rekognition
| Age | 34-42 |
| Gender | Male, 99.5% |
| Calm | 61.4% |
| Happy | 30.6% |
| Confused | 3% |
| Disgusted | 2.1% |
| Sad | 1.5% |
| Surprised | 0.6% |
| Angry | 0.5% |
| Fear | 0.3% |
AWS Rekognition
| Age | 35-43 |
| Gender | Male, 82.7% |
| Calm | 33.2% |
| Disgusted | 21.2% |
| Fear | 15.3% |
| Angry | 9.7% |
| Happy | 7.3% |
| Sad | 6.6% |
| Surprised | 3.6% |
| Confused | 3.2% |
AWS Rekognition
| Age | 50-58 |
| Gender | Male, 69.3% |
| Sad | 38.4% |
| Happy | 35.6% |
| Confused | 9% |
| Calm | 8.7% |
| Disgusted | 2.7% |
| Surprised | 2.7% |
| Angry | 1.6% |
| Fear | 1.2% |
AWS Rekognition
| Age | 19-27 |
| Gender | Female, 56.5% |
| Calm | 97.4% |
| Confused | 1.5% |
| Angry | 0.5% |
| Sad | 0.3% |
| Surprised | 0.1% |
| Disgusted | 0.1% |
| Fear | 0.1% |
| Happy | 0.1% |
AWS Rekognition
| Age | 22-30 |
| Gender | Male, 67.4% |
| Fear | 27.9% |
| Sad | 27.1% |
| Calm | 14.9% |
| Happy | 12.4% |
| Confused | 5.6% |
| Disgusted | 4.9% |
| Surprised | 3.6% |
| Angry | 3.5% |
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
Categories
Imagga
| interior objects | 99.8% | |
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Captions
Microsoft
created on 2022-01-08
| an old photo of a train | 49.5% | |
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| old photo of a train | 45.2% | |
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| an old photo of a train station | 45.1% | |
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Text analysis
BEJ 3 0
BEJ
3
0