Machine Generated Data
Tags
Amazon
created on 2019-07-20
Bottle | 86.4 | |
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Shaker | 86.4 | |
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Cork | 59.7 | |
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Paint Container | 58 | |
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Clarifai
created on 2019-07-20
Imagga
created on 2019-07-20
Google
created on 2019-07-20
Bottle | 98.6 | |
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Glass bottle | 97.6 | |
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Product | 95.5 | |
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Drinkware | 72.1 | |
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Cylinder | 66.9 | |
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Liquid | 66.5 | |
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Liqueur | 61.7 | |
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Drink | 59.4 | |
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Water bottle | 58.7 | |
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Glass | 58.6 | |
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Plastic bottle | 57.4 | |
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Tableware | 53.6 | |
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Color Analysis
Feature analysis
Amazon

Shaker | 86.4% | |
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Categories
Imagga
interior objects | 96.2% | |
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food drinks | 3.7% | |
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Captions
Microsoft
created on 2019-07-20
a close up of a bottle | 59.8% | |
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close up of a bottle | 53.1% | |
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a close up of a bottle on a table | 41.6% | |
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Google Gemini
Created by gemini-2.0-flash-lite on 2025-05-02
Here's a description of the image:
The image presents a still-life composition on a plain gray background. The primary subject is a clear glass jar filled with a brownish-yellow powder. A label on the jar reads "RAW SIENNA" and "3.035 WEBER". The jar is capped with a cork stopper.
To the left of the jar is a color calibration chart and a scale ruler. The chart features a grid of color squares, and the scale ruler shows centimeters with black and white bars.
The lighting appears soft and even, highlighting the textures and details of the objects. The overall aesthetic suggests a scientific or archival context.
Created by gemini-2.0-flash on 2025-05-02
The image features a clear glass bottle, approximately half-filled with a yellow-orange powder. A small, beige label on the bottle reads "RAW SIENNA" and "3.035 WEBER" in dark ink. The bottle is sealed with a cork stopper. To the left of the bottle, there is a color chart, with a variety of colored squares arranged in a grid. A measuring scale with black and white stripes is placed next to the color chart. The background is a uniform grey, and the objects are positioned on a flat, grey surface. The lighting is soft and even, providing a neutral and balanced view of the objects.
Text analysis
Amazon













