Machine Generated Data
Tags
Amazon
created on 2022-01-14
Building | 96.2 | |
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Person | 95 | |
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Human | 95 | |
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Hangar | 79.7 | |
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Urban | 78.9 | |
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Airport | 78.8 | |
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Tarmac | 70.3 | |
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Asphalt | 70.3 | |
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Person | 65.4 | |
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Airfield | 65.2 | |
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Nature | 65 | |
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Shelter | 59.8 | |
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Outdoors | 59.8 | |
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Countryside | 59.8 | |
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Rural | 59.8 | |
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Road | 59 | |
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Person | 58.6 | |
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Street | 58.2 | |
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City | 58.2 | |
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Town | 58.2 | |
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Housing | 57.1 | |
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Control Tower | 56.8 | |
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Architecture | 56.8 | |
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Tower | 56.8 | |
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People | 56.3 | |
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Chair | 56.2 | |
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Furniture | 56.2 | |
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Clarifai
created on 2023-10-25
monochrome | 99.6 | |
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train | 98.9 | |
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street | 98.8 | |
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railway | 98.2 | |
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city | 96.9 | |
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locomotive | 96.6 | |
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bridge | 95.9 | |
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black and white | 95.6 | |
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urban | 95.1 | |
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transportation system | 95.1 | |
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light | 94 | |
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no person | 91.8 | |
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people | 91.3 | |
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building | 91 | |
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winter | 90.1 | |
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architecture | 90 | |
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shed | 86.5 | |
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modern | 85.7 | |
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empty | 84.7 | |
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subway system | 84.6 | |
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Imagga
created on 2022-01-14
pier | 100 | |
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support | 100 | |
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bridge | 77.6 | |
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device | 76.2 | |
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structure | 39.5 | |
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city | 35 | |
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river | 33.9 | |
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water | 33.4 | |
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sky | 30.7 | |
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architecture | 28.5 | |
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steel arch bridge | 26.4 | |
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landscape | 23.8 | |
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skyline | 22.8 | |
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sea | 22.7 | |
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travel | 22.6 | |
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ocean | 22.2 | |
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building | 20.9 | |
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landmark | 20.8 | |
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urban | 20.1 | |
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night | 18.7 | |
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cityscape | 18 | |
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tourism | 17.4 | |
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bay | 17 | |
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steel | 17 | |
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coast | 16.2 | |
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tower | 16.1 | |
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sunset | 15.3 | |
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transportation | 15.3 | |
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panorama | 14.3 | |
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scenic | 14.1 | |
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harbor | 13.5 | |
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boat | 13 | |
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reflection | 13 | |
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town | 13 | |
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viaduct | 12.9 | |
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sun | 12.9 | |
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transport | 12.8 | |
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beach | 12.7 | |
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scenery | 12.6 | |
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evening | 12.2 | |
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famous | 12.1 | |
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construction | 12 | |
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ship | 11.8 | |
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traffic | 11.4 | |
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coastline | 11.3 | |
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summer | 11 | |
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road | 10.9 | |
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highway | 10.6 | |
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dusk | 10.5 | |
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scene | 10.4 | |
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suspension | 9.9 | |
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pacific | 9.7 | |
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buildings | 9.5 | |
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light | 9.4 | |
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iron | 9.3 | |
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holiday | 9.3 | |
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metal | 8.9 | |
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gate | 8.8 | |
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twilight | 8.8 | |
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cloud | 8.6 | |
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tree | 8.5 | |
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clouds | 8.5 | |
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modern | 8.4 | |
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shore | 8.4 | |
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vacation | 8.2 | |
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bridges | 7.9 | |
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port | 7.7 | |
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industry | 7.7 | |
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panoramic | 7.7 | |
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winter | 7.7 | |
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hill | 7.5 | |
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lake | 7.3 | |
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connection | 7.3 | |
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business | 7.3 | |
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industrial | 7.3 | |
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horizon | 7.2 | |
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car | 7.2 | |
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Google
created on 2022-01-14
Plant | 90 | |
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Rectangle | 88.9 | |
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Black-and-white | 85.5 | |
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Font | 79.2 | |
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Tints and shades | 76.5 | |
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Building | 76.2 | |
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Parallel | 76.2 | |
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Monochrome photography | 74.7 | |
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Monochrome | 74.1 | |
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Technology | 73.3 | |
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Slope | 70.9 | |
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Urban design | 68.6 | |
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Facade | 67.5 | |
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Room | 62.7 | |
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History | 62.5 | |
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Stadium | 61.8 | |
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Landscape | 61.4 | |
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Asphalt | 60.2 | |
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Advertising | 59.9 | |
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Paper product | 58.8 | |
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Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18814176/580,349,15,38/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18814176/530,368,13,25/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/18814176/360,353,14,41/full/0/native.jpg)
Person | 95% | |
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Categories
Imagga
beaches seaside | 90.8% | |
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nature landscape | 4.3% | |
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streetview architecture | 4.1% | |
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Captions
Microsoft
created on 2022-01-14
a vintage photo of a bridge | 77.2% | |
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a vintage photo of a building | 77.1% | |
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a vintage photo of a group of people standing in front of a building | 77% | |
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Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/18814176/224,460,55,34/full/0/native.jpg)
KRESS
![](https://ids.lib.harvard.edu/ids/iiif/18814176/256,495,43,31/full/0/native.jpg)
SHOP
![](https://ids.lib.harvard.edu/ids/iiif/18814176/690,286,21,12/full/0/native.jpg)
WED
![](https://ids.lib.harvard.edu/ids/iiif/18814176/202,481,100,46/full/0/native.jpg)
GARDEN SHOP
![](https://ids.lib.harvard.edu/ids/iiif/18814176/205,481,57,36/full/0/native.jpg)
GARDEN
![](https://ids.lib.harvard.edu/ids/iiif/18814176/648,284,37,15/full/0/native.jpg)
COMING
![](https://ids.lib.harvard.edu/ids/iiif/18814176/533,300,47,11/full/0/native.jpg)
CINEMA
![](https://ids.lib.harvard.edu/ids/iiif/18814176/717,287,20,10/full/0/native.jpg)
BEN
![](https://ids.lib.harvard.edu/ids/iiif/18814176/648,284,111,15/full/0/native.jpg)
COMING WED BEN HUR
![](https://ids.lib.harvard.edu/ids/iiif/18814176/992,643,11,27/full/0/native.jpg)
KO
![](https://ids.lib.harvard.edu/ids/iiif/18814176/739,286,20,12/full/0/native.jpg)
HUR
![](https://ids.lib.harvard.edu/ids/iiif/18814176/984,410,33,260/full/0/native.jpg)
KO 46807-8
![](https://ids.lib.harvard.edu/ids/iiif/18814176/984,410,33,238/full/0/native.jpg)
46807-8
![](https://ids.lib.harvard.edu/ids/iiif/18814176/240,175,260,49/full/0/native.jpg)
ATAEM
![](https://ids.lib.harvard.edu/ids/iiif/18814176/536,255,228,59/full/0/native.jpg)
CINEMA
COMING WED BEN HUR
EINEMA
![](https://ids.lib.harvard.edu/ids/iiif/18814176/653,255,111,30/full/0/native.jpg)
CINEMA
![](https://ids.lib.harvard.edu/ids/iiif/18814176/651,287,38,17/full/0/native.jpg)
COMING
![](https://ids.lib.harvard.edu/ids/iiif/18814176/693,288,23,14/full/0/native.jpg)
WED
![](https://ids.lib.harvard.edu/ids/iiif/18814176/719,289,23,14/full/0/native.jpg)
BEN
![](https://ids.lib.harvard.edu/ids/iiif/18814176/741,286,22,19/full/0/native.jpg)
HUR
![](https://ids.lib.harvard.edu/ids/iiif/18814176/536,303,49,11/full/0/native.jpg)
EINEMA