Machine Generated Data
Tags
Amazon
created on 2019-11-19
Clarifai
created on 2019-11-19
no person | 98.4 | |
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abandoned | 96.2 | |
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transportation system | 96 | |
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train | 95.1 | |
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subway system | 92.8 | |
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people | 92.7 | |
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indoors | 91.8 | |
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empty | 90.4 | |
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vehicle | 90.3 | |
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railway | 90.1 | |
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light | 88.9 | |
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war | 87.1 | |
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street | 86.9 | |
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monochrome | 86.4 | |
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architecture | 86.3 | |
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room | 86.1 | |
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broken | 85.8 | |
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urban | 80.2 | |
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old | 80 | |
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calamity | 79.9 | |
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Imagga
created on 2019-11-19
windshield wiper | 28.9 | |
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mechanical device | 24.8 | |
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device | 23.6 | |
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old | 22.3 | |
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windowsill | 21.9 | |
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tunnel | 21.7 | |
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sill | 20.3 | |
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mechanism | 19.4 | |
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building | 16.6 | |
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passage | 15.9 | |
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city | 15.8 | |
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structural member | 15.7 | |
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passageway | 15.5 | |
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travel | 15.5 | |
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architecture | 14.8 | |
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water | 14.7 | |
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screen | 14.1 | |
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support | 13.8 | |
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wall | 13.6 | |
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way | 13.1 | |
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grunge | 12.8 | |
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road | 12.6 | |
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transportation | 12.5 | |
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history | 12.5 | |
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light | 12 | |
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train | 11.7 | |
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grungy | 11.4 | |
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texture | 11.1 | |
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stone | 11 | |
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mirror | 10.9 | |
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vintage | 10.7 | |
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track | 10.7 | |
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car mirror | 10.4 | |
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transport | 10 | |
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house | 10 | |
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dirty | 9.9 | |
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railroad | 9.8 | |
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urban | 9.6 | |
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antique | 9.5 | |
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ancient | 9.5 | |
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barrier | 9.3 | |
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street | 9.2 | |
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industrial | 9.1 | |
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protective covering | 9 | |
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metal | 8.8 | |
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railway | 8.8 | |
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station | 8.7 | |
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weathered | 8.5 | |
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black | 8.4 | |
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sky | 8.3 | |
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aged | 8.1 | |
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fountain | 8 | |
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rural | 7.9 | |
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rails | 7.9 | |
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sea | 7.8 | |
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space | 7.8 | |
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empty | 7.7 | |
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rust | 7.7 | |
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culture | 7.7 | |
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structure | 7.6 | |
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outdoors | 7.5 | |
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window screen | 7.4 | |
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door | 7.4 | |
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retro | 7.4 | |
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rough | 7.3 | |
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vessel | 7.2 | |
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windshield | 7.1 | |
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interior | 7.1 | |
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summer | 7.1 | |
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day | 7.1 | |
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Google
created on 2019-11-19
Black-and-white | 85.4 | |
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Snapshot | 82 | |
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Monochrome | 81.2 | |
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Photography | 70.6 | |
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Architecture | 65.5 | |
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Monochrome photography | 57.8 | |
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Building | 53.4 | |
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Style | 51 | |
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Microsoft
created on 2019-11-19
outdoor | 94.3 | |
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train | 94 | |
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black and white | 91.6 | |
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building | 80.4 | |
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monochrome | 71.2 | |
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colonnade | 6.7 | |
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Color Analysis
Feature analysis
Amazon

Train | 92% | |
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Categories
Imagga
cars vehicles | 99.9% | |
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Captions
Microsoft
created on 2019-11-19
a train is parked on the side of a building | 33.4% | |
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a black and white photo of a building | 33.3% | |
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a black and white photo of a train | 33.2% | |
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Google Gemini
Created by gemini-2.0-flash-lite on 2025-05-11
Here's a description of the image:
Overall Impression:
The image is a high-contrast, grainy black and white negative. It depicts a steam locomotive at a train station. The scene is partially in shadow.
Specific Elements:
- Locomotive: The primary focus is a large steam locomotive on the platform. The number "74 652" is visible on the front of the engine.
- Platform and Structure: The locomotive is positioned on a platform. Overhead, there is a large, arched structure supported by thick pillars. This structure likely provides cover for the platform.
- Background: In the background, beyond the platform, are more tracks, a bench, and some indistinct buildings.
- Lighting and Shadow: The scene is lit from above, casting shadows. The contrast is harsh, making the image have a stark, almost ghostly feel.
Atmosphere:
The image has a vintage feel due to its grain, the steam locomotive, and the type of platform. The high contrast and partially shadowed scene create a sense of mystery or a moment captured in time.
Created by gemini-2.0-flash on 2025-05-11
The image shows a steam train at a station platform. The image has a black and white, inverted color scheme, giving it a ghostly or negative appearance. The train is positioned on the left side of the frame, with the front of the engine visible. The number "74.652" is visible on the front of the train. The platform runs along the bottom and right side of the frame, with tracks below the platform. Overhead, the station structure is supported by large pillars, and benches are visible on the platform. The overall composition suggests a historical or vintage scene.
Text analysis
Amazon
