FSOCO: The Formula Student Objects in Context Dataset
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arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2020
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| Acceso en línea: | |
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| _version_ | 1866909558475063296 |
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| author | Vödisch, Niclas Dodel, David Schötz, Michael |
| author_facet | Vödisch, Niclas Dodel, David Schötz, Michael |
| contents | This paper presents the FSOCO dataset, a collaborative dataset for vision-based cone detection systems in Formula Student Driverless competitions. It contains human annotated ground truth labels for both bounding boxes and instance-wise segmentation masks. The data buy-in philosophy of FSOCO asks student teams to contribute to the database first before being granted access ensuring continuous growth. By providing clear labeling guidelines and tools for a sophisticated raw image selection, new annotations are guaranteed to meet the desired quality. The effectiveness of the approach is shown by comparing prediction results of a network trained on FSOCO and its unregulated predecessor. The FSOCO dataset can be found at https://fsoco.github.io/fsoco-dataset/. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2012_07139 |
| institution | arXiv |
| publishDate | 2020 |
| record_format | arxiv |
| spellingShingle | FSOCO: The Formula Student Objects in Context Dataset Vödisch, Niclas Dodel, David Schötz, Michael Computer Vision and Pattern Recognition Machine Learning Robotics This paper presents the FSOCO dataset, a collaborative dataset for vision-based cone detection systems in Formula Student Driverless competitions. It contains human annotated ground truth labels for both bounding boxes and instance-wise segmentation masks. The data buy-in philosophy of FSOCO asks student teams to contribute to the database first before being granted access ensuring continuous growth. By providing clear labeling guidelines and tools for a sophisticated raw image selection, new annotations are guaranteed to meet the desired quality. The effectiveness of the approach is shown by comparing prediction results of a network trained on FSOCO and its unregulated predecessor. The FSOCO dataset can be found at https://fsoco.github.io/fsoco-dataset/. |
| title | FSOCO: The Formula Student Objects in Context Dataset |
| topic | Computer Vision and Pattern Recognition Machine Learning Robotics |
| url | https://arxiv.org/abs/2012.07139 |