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---
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license:
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---
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# Introduction
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This repository stores the model for
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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# Contents
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- ONNX:
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# Lecture note reference
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# Repository or links references
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license: gpl-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 YOLOv8-M (segmentation), compatible with Kalray's neural network API. </br>
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Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
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# Contents
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- ONNX: yolov8m-seg.optimized.onnx
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# Lecture note reference
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# Repository or links references
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- repository: https://github.com/ultralytics/ultralytics/
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- weights: https://github.com/ultralytics/assets/releases/download/v8.2.0/yolov8m-seg.pt
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BibTeX entry and citation info
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```
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@software{yolov8_ultralytics,
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author = {Glenn Jocher and Ayush Chaurasia and Jing Qiu},
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title = {Ultralytics YOLOv8},
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version = {8.0.0},
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year = {2023},
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url = {https://github.com/ultralytics/ultralytics},
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orcid = {0000-0001-5950-6979, 0000-0002-7603-6750, 0000-0003-3783-7069},
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license = {AGPL-3.0}
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}
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```
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