Update README.md

README.md

@@ -1,3 +1,53 @@
----
-license: agpl-3.0
----
+---
+license: gpl-3.0
+datasets:
+- detection-datasets/coco
+---
+
+# Introduction
+
+This repository stores the model for YOLOv5, compatible with Kalray's neural network API. </br>
+Please see www.github.com/kalray/kann-model-zoo for details and proper usage [WIKI](https://github.com/kalray/kann-model-zoo/wiki). </br>
+
+# Contents
+
+ONNX model are described below:
+| Model              |   FLOPs |  Params | mAP-50 | mAP-50/95 |
+|--------------------|---------|---------|--------|-----------|
+| yolov5nu.onnx      |   8.0 G |   2.6 M | 48.9 % |  34.4 %*  |
+| yolov5su.onnx      |  24.4 G |   9.1 M | 58.9 % |  43.1 %*  |
+| yolov5su_relu.onnx |  24.4 G |   9.1 M | 54.7 % |  39.0 %*  |
+| yolov5mu.onnx      |  64.9 G |  25.0 M | 65.0 % |  49.3 %*  |
+| yolov5lu.onnx      | 136.1 G |  53.1 M | 68.2%  |  52.3 %*  |
+| yolov5xu.onnx      | 248.0 G |  97.1 M | 69.3 % |  53.7 %*  |
+
+# Lecture note reference
+
+
+# Repository or links references
+
+- repository: https://github.com/ultralytics/yolov5
+- configuration : https://github.com/ultralytics/ultralytics/blob/main/ultralytics/cfg/models/v5/yolov5.yaml
+- weights:
+  - https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5nu.pt
+  - https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5su.pt
+  - https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5mu.pt
+  - https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5lu.pt
+  - https://github.com/ultralytics/assets/releases/download/v8.3.0/yolov5xu.pt
+
+
+BibTeX entry and citation info
+```
+@software{yolov5,
+  title = {Ultralytics YOLOv5},
+  author = {Glenn Jocher},
+  year = {2020},
+  version = {7.0},
+  license = {AGPL-3.0},
+  url = {https://github.com/ultralytics/yolov5},
+  doi = {10.5281/zenodo.3908559},
+  orcid = {0000-0001-5950-6979}
+}
+```
+
+Authors: Quentin Muller, <[email protected]>