Machine Generated Data
Tags
Amazon
created on 2022-03-11
Wheel | 99.5 | |
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Machine | 99.5 | |
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Person | 98.9 | |
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Human | 98.9 | |
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Car | 98.4 | |
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Automobile | 98.4 | |
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Transportation | 98.4 | |
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Vehicle | 98.4 | |
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Person | 96.2 | |
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Car | 95.8 | |
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Wheel | 95.1 | |
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Person | 94 | |
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Road | 92.8 | |
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Neighborhood | 92.4 | |
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Building | 92.4 | |
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Urban | 92.4 | |
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Car | 92.4 | |
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Car | 90.3 | |
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Wheel | 87.4 | |
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Person | 84.7 | |
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Wheel | 83.5 | |
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Tarmac | 83.3 | |
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Asphalt | 83.3 | |
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Person | 82.5 | |
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Intersection | 79.8 | |
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Person | 79.1 | |
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City | 76.7 | |
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Town | 76.7 | |
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Wheel | 71.6 | |
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Wall | 66.8 | |
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Street | 65.5 | |
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Office Building | 62.9 | |
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People | 62.7 | |
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Tire | 58 | |
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Wheel | 56.4 | |
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Billboard | 55.8 | |
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Advertisement | 55.8 | |
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Nature | 55.1 | |
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Wheel | 54.6 | |
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Car | 51.7 | |
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Clarifai
created on 2023-10-22
people | 99.1 | |
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vehicle | 98.2 | |
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street | 97.9 | |
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transportation system | 96.5 | |
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no person | 95 | |
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town | 94.3 | |
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94.2 | ||
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home | 93.9 | |
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building | 93.5 | |
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watercraft | 93.4 | |
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group together | 93.2 | |
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group | 92.9 | |
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architecture | 91.9 | |
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many | 89.8 | |
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vintage | 89.4 | |
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adult | 87.7 | |
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house | 86.1 | |
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city | 85.3 | |
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lithograph | 80.9 | |
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monochrome | 80.5 | |
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Imagga
created on 2022-03-11
architecture | 76 | |
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building | 59.4 | |
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city | 41.6 | |
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structure | 30.4 | |
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house | 29.4 | |
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urban | 28 | |
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old | 27.9 | |
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sky | 24.4 | |
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window | 23.3 | |
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town | 23.2 | |
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balcony | 22.1 | |
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university | 20.8 | |
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travel | 19.8 | |
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prison | 19.4 | |
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warehouse | 19 | |
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exterior | 18.5 | |
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tourism | 17.4 | |
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facade | 17.1 | |
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brick | 17.1 | |
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college | 16.5 | |
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street | 15.7 | |
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historic | 15.6 | |
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ancient | 15.6 | |
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river | 15.2 | |
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correctional institution | 14.8 | |
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water | 14.7 | |
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wall | 14.7 | |
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construction | 14.6 | |
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history | 14.3 | |
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buildings | 14.2 | |
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landmark | 13.6 | |
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center | 13.1 | |
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school | 13.1 | |
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home | 12.8 | |
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tower | 12.6 | |
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roof | 12.5 | |
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cityscape | 12.3 | |
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summer | 12.2 | |
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stone | 11.8 | |
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palace | 11.6 | |
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office | 11.5 | |
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historical | 11.3 | |
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penal institution | 11.1 | |
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bridge | 10.9 | |
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road | 10.9 | |
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modern | 10.5 | |
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scene | 10.4 | |
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downtown | 9.6 | |
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medieval | 9.6 | |
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glass | 9.4 | |
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boat | 9.3 | |
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aged | 9.1 | |
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vacation | 9 | |
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district | 8.7 | |
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houses | 8.7 | |
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windows | 8.7 | |
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capital | 8.6 | |
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business | 8.5 | |
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place | 8.4 | |
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institution | 8.4 | |
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tourist | 8.2 | |
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sea | 7.8 | |
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high | 7.8 | |
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heritage | 7.7 | |
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architectural | 7.7 | |
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industry | 7.7 | |
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apartment | 7.7 | |
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skyline | 7.6 | |
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perspective | 7.5 | |
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residence | 7.3 | |
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new | 7.3 | |
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industrial | 7.3 | |
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scenery | 7.2 | |
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day | 7.1 | |
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Google
created on 2022-03-11
Building | 95.5 | |
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Car | 95.1 | |
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Window | 94.1 | |
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Black | 89.8 | |
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Vehicle | 89.2 | |
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Wheel | 86.1 | |
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Motor vehicle | 85.2 | |
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Architecture | 85.2 | |
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Tire | 84.3 | |
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Black-and-white | 83 | |
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Rectangle | 81.3 | |
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Facade | 77.8 | |
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Tints and shades | 77.1 | |
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Art | 76.3 | |
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City | 75.9 | |
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Urban design | 74.6 | |
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Monochrome photography | 73.8 | |
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Monochrome | 73.5 | |
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Mixed-use | 69.4 | |
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Street | 67.7 | |
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Microsoft
created on 2022-03-11
building | 99.3 | |
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text | 97.8 | |
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outdoor | 97.1 | |
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road | 96.3 | |
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black and white | 95.8 | |
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vehicle | 91.1 | |
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street | 83 | |
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car | 81.1 | |
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house | 79.5 | |
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land vehicle | 79.5 | |
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white | 78.1 | |
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black | 71.2 | |
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monochrome | 54.2 | |
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city | 50.8 | |
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old | 47.4 | |
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Color Analysis
Face analysis
Amazon

AWS Rekognition
Age | 24-34 |
Gender | Female, 54.5% |
Calm | 46.9% |
Disgusted | 44.6% |
Sad | 2.2% |
Angry | 1.9% |
Surprised | 1.6% |
Fear | 1.2% |
Happy | 1.1% |
Confused | 0.5% |
Feature analysis
Categories
Imagga
cars vehicles | 44.3% | |
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paintings art | 42% | |
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streetview architecture | 8.9% | |
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interior objects | 2.1% | |
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nature landscape | 1.2% | |
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Captions
Microsoft
created by unknown on 2022-03-11
a vintage photo of a city street | 91.1% | |
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a vintage photo of a building | 91% | |
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a vintage photo of an old building | 90.9% | |
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Clarifai
created by general-english-image-caption-blip on 2025-05-04
a photograph of a black and white photo of a city street scene | -100% | |
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Google Gemini
Created by gemini-2.0-flash-lite on 2025-05-02
This is a black and white photograph of a street scene from what appears to be the early to mid-20th century. The image is somewhat dark, as if a negative has been used. Here are some key features:
- Buildings: The main focus is on a street lined with brick buildings of various heights. The building on the left houses an A&P Food Stores, and is marked with signage. Other businesses are also visible, like "Kinney Shoes" and a sign for "Leggett's." The architecture suggests the era, with storefronts and multi-story structures.
- Cars: Several vintage cars are parked along the street. They have a classic design, with rounded bodies and separate fenders, typical of the 1930s or 1940s.
- People: A few figures are visible in the image, some appearing to be customers in front of the shops.
- Details: There are utility poles with wires crisscrossing the street. The storefronts have awnings, and there is some signage and advertisements.
- Overall Impression: The scene gives a sense of a bustling commercial area from a bygone era. The image evokes a feeling of nostalgia and historical context.
Created by gemini-2.0-flash on 2025-05-02
Here is a description of the image:
The image appears to be a vintage photograph of a bustling street scene. Several buildings line the street, with various establishments visible. On the left, there's a building with "A&P FOOD STORES" prominently displayed above its entrance, featuring an awning and signs advertising bacon. Next to it, there's a building with "Kinney Shoes" and "EDUCATOR SHOES" indicated on the shop front. Further down, a taller building can be seen with "LEGGET'S" written vertically along its facade.
People are visible on the sidewalk, giving the impression of a busy commercial area. A row of vintage cars parked along the street adds to the period feel of the photograph. The presence of utility poles with wires running overhead is typical of streetscapes from the past.
Text analysis
Amazon





























































