A computer vision dataset of vehicle logo segmentation masks. There are 34 logos each with 16 images and masks.
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- About the Dataset
- Download the Dataset
- Evaluation
- Links and References
- Who are we
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Annotated, machine learning dataset of Vehicle Logos. There are 34 Vehicle Logos classes and 544 images each containing a single cropped vehicle logo and corresponding instance mask. There are 34 logos each with 16 images and masks.
Cropped Logo images have been extracted from larger images containing cars. The car images are created using our mobile application and photographers. The images, crops and masks have been manually created.
Maximum occlusion or truncation for any class annotation is ~10%.
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All images were collected through our mobile application that is available both on Android and iOS and as such are property of General Blockchain, Inc.
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All annotations were created by our own fully employed in-house team.
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Each cropped image was checked at least twice during the quality assurance process by different people.
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Dataset is available in CSV format.
Watch the short video overview to become familiar with the dataset.
The sample dataset comes with 34 vehicle classes. Each of the classes have 16 images and masks. So, a total of 544 images and masks are present in the sample dataset.
| No | Category | Images |
|---|---|---|
| 1 | Toyota | 16 |
| 2 | Mitsubishi | 16 |
| 3 | Seat | 16 |
| 4 | Suzuki | 16 |
| 5 | Opel | 16 |
| 6 | Honda 1 | 16 |
| 7 | Renault | 16 |
| 8 | Mercedes 1 | 16 |
| 9 | Volkswagen | 16 |
| 10 | Subaru | 16 |
| 11 | Dacia 1 | 16 |
| 12 | Citroen | 16 |
| 13 | Land Rover | 16 |
| 14 | Tesla | 16 |
| 15 | Mazda | 16 |
| 16 | Nissan | 16 |
| 17 | Hyundai | 16 |
| 18 | Lancia 1 | 16 |
| 19 | Skoda 1 | 16 |
| 20 | Chevrolet 2 | 16 |
| 21 | Porsche | 16 |
| 22 | Peugeot | 16 |
| 23 | Jeep | 16 |
| 24 | Mini | 16 |
| 25 | Kia 1 | 16 |
| 26 | Lexus | 16 |
| 27 | Smart 2 | 16 |
| 28 | Volvo 1 | 16 |
| 29 | GMC | 16 |
| 30 | Ford | 16 |
| 31 | Daewoo 1 | 16 |
| 32 | Acura | 16 |
| 33 | Alfa Romeo | 16 |
| 34 | BMW | 16 |
| Total | 34 | 544 |
Our original dataset comes with 34 vehicle classes and a total of 4934 images. Here is a demonstration of the dataset.
Open terminal and run the following command:
git clone https://github.com/GeneralBlockchain/vehicle-logos-dataset.git
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Dataset homepage: https://github.com/GeneralBlockchain/vehicle-logos-dataset
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Repository: https://github.com/GeneralBlockchain/vehicle-logos-dataset.git
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Issue tracker: https://github.com/GeneralBlockchain/vehicle-logos-dataset/issues
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In case of any help you may need from us, please contact us directly without any hesitation! We will be glad to help you.
We are General Blockchain Inc, a company developing technology to support the AI industry using blockchain technology.
Our vision is to build a programmable, human based, artificial intelligence.
The first application of this human computer is to provide image annotation services to the machine learning and artificial intelligence community.
Please access our Image Annotation AI services here, today.
The repository is licensed under Attribution 4.0 International (CC BY 4.0).
