Machine Generated Data
Tags
Amazon
created on 2022-09-03
Electronics | 96.4 | |
| ||
Camera | 94 | |
| ||
Camera Lens | 76.3 | |
| ||
Camera | 75.9 | |
| ||
Cylinder | 67.7 | |
|
Clarifai
created on 2023-10-30
lens | 99.9 | |
| ||
no person | 99.3 | |
| ||
still life | 98.7 | |
| ||
aperture | 98.6 | |
| ||
leather | 98.2 | |
| ||
stroboscope | 97.9 | |
| ||
analogue | 97.6 | |
| ||
shutter | 97 | |
| ||
rangefinder | 96.3 | |
| ||
sparkle | 96.2 | |
| ||
zoom | 95.3 | |
| ||
studio | 94.9 | |
| ||
photograph | 93.9 | |
| ||
old | 93.8 | |
| ||
telephoto | 93.6 | |
| ||
iso | 93.4 | |
| ||
analog | 91.4 | |
| ||
retro | 91.4 | |
| ||
flash | 91 | |
| ||
monochrome | 90 | |
|
Imagga
created on 2022-09-03
Google
created on 2022-09-03
Camera accessory | 91 | |
| ||
Camera lens | 88.7 | |
| ||
Cameras & optics | 85 | |
| ||
Lens | 78.7 | |
| ||
Cylinder | 75.3 | |
| ||
Teleconverter | 75 | |
| ||
Font | 69.4 | |
| ||
Optical instrument | 62.3 | |
| ||
Metal | 60.9 | |
| ||
Flash photography | 59.6 | |
| ||
Macro photography | 58.8 | |
| ||
Reflex camera | 58.1 | |
| ||
Still life photography | 58 | |
|
Microsoft
created on 2022-09-03
electronics | 88.5 | |
| ||
camera | 87.2 | |
| ||
cameras & optics | 81.6 | |
| ||
reflex camera | 76.4 | |
| ||
single-lens reflex camera | 75.7 | |
| ||
lens | 74.1 | |
| ||
camera lens | 73.4 | |
| ||
mirrorless interchangeable-lens camera | 72.5 | |
| ||
optical instrument | 72.5 | |
| ||
digital camera | 71.2 | |
| ||
teleconverter | 69.2 | |
| ||
point-and-shoot camera | 65 | |
| ||
film camera | 61.8 | |
| ||
digital slr | 51.6 | |
|
Color Analysis
Feature analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1472,953,1019,662/full/0/native.jpg)
![](https://ids.lib.harvard.edu/ids/iiif/494884950/727,87,1141,1457/full/0/native.jpg)
Camera | 94% | |
|
Categories
Imagga
food drinks | 91.4% | |
| ||
paintings art | 3.7% | |
| ||
cars vehicles | 3.4% | |
| ||
interior objects | 1.2% | |
|
Captions
Microsoft
created on 2022-09-03
a camera on a table | 77.1% | |
| ||
a close up of a camera | 77% | |
| ||
close up of a camera | 76.9% | |
|
Text analysis
Amazon
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2127,1228,40,66/full/0/native.jpg)
feet
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2221,1263,16,24/full/0/native.jpg)
32
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2083,1098,39,46/full/0/native.jpg)
100
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1965,1244,36,78/full/0/native.jpg)
32 22
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2157,1099,55,47/full/0/native.jpg)
254
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2040,1041,66,74/full/0/native.jpg)
50 30
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1999,1015,146,129/full/0/native.jpg)
100 50 30 OZ
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1941,1188,70,134/full/0/native.jpg)
32 22 16 11
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2015,1020,41,37/full/0/native.jpg)
OZ
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1954,1189,35,58/full/0/native.jpg)
16 11
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2194,1189,54,77/full/0/native.jpg)
2216 11
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1947,1162,13,11/full/0/native.jpg)
OF
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2178,1142,56,59/full/0/native.jpg)
88225
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1492,1274,240,105/full/0/native.jpg)
NOXMIN
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1922,1115,24,26/full/0/native.jpg)
g.5
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1502,976,897,403/full/0/native.jpg)
RIKKOR
feet
32 22 16 118
mouth
5.6
100 50 30
£ 8 1116 22 92
e
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1503,1283,224,97/full/0/native.jpg)
RIKKOR
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2133,1229,32,69/full/0/native.jpg)
feet
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2217,1263,27,31/full/0/native.jpg)
32
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2212,1237,28,31/full/0/native.jpg)
22
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2208,1218,27,26/full/0/native.jpg)
16
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2202,1180,29,42/full/0/native.jpg)
118
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1783,976,154,164/full/0/native.jpg)
mouth
![](https://ids.lib.harvard.edu/ids/iiif/494884950/1923,1115,31,33/full/0/native.jpg)
5.6
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2080,1095,53,58/full/0/native.jpg)
100
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2064,1067,47,49/full/0/native.jpg)
50
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2048,1041,46,47/full/0/native.jpg)
30
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2169,1100,24,22/full/0/native.jpg)
£
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2163,1092,24,22/full/0/native.jpg)
8
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2138,1064,40,40/full/0/native.jpg)
1116
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2113,1032,30,30/full/0/native.jpg)
92
![](https://ids.lib.harvard.edu/ids/iiif/494884950/2380,1111,20,18/full/0/native.jpg)
e