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--- |
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license: agpl-3.0 |
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datasets: |
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- detection-datasets/coco |
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--- |
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# Introduction |
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This repository stores the model for YOLOv3, compatible with Kalray's neural network API. </br> |
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Please see https://www.github.com/kalray/kann-models-zoo for details and proper usage. </br> |
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# Contents |
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- ONNX: yolov3.optimized.onnx |
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# Lecture note reference |
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+ YOLOv3: An Incremental Improvement, https://arxiv.org/abs/1804.02767 |
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+ You Only Look Once: Unified, Real-Time Object Detection, https://arxiv.org/abs/1506.02640 |
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# Repository or links references |
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- source code : https://github.com/ultralytics/yolov3/ |
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- config: https://github.com/ultralytics/yolov3/blob/master/models/yolov3.yaml |
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- weights: from [yolov3.pt](https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov3.pt) then re-trained with ReLU activation |
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BibTeX entry and citation info |
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``` |
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@article{ redmon2018yolov3, |
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title={ YOLOv3: An Incremental Improvement }, |
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author={ Redmon, Joseph and Farhadi, Ali }, |
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journal={ arXiv preprint arXiv:1804.02767 }, |
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year={ 2018 } |
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} |
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``` |
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from source code CITATION.cff: |
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``` |
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cff-version: 1.2.0 |
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preferred-citation: |
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type: software |
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message: If you use YOLOv3, please cite it as below. |
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authors: |
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- family-names: Jocher |
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given-names: Glenn |
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orcid: "https://orcid.org/0000-0001-5950-6979" |
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title: "YOLOv3 by Ultralytics" |
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version: 7.0 |
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doi: 10.5281/zenodo.3908559 |
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date-released: 2020-5-29 |
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license: AGPL-3.0 |
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url: "https://github.com/ultralytics/yolov3" |
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``` |
