Create README.md

README.md

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+---
+datasets:
+- detection-datasets/coco
+license: gpl-3.0
+---
+
+# Introduction
+
+This repository stores the model for YOLOv7, compatible with Kalray's neural network API. </br>
+Please see www.github.com/kalray/kann-models-zoo for details and proper usage. </br>
+
+# Contents
+
+- ONNX:       yolov7-tiny.optimized.onnx
+
+# Lecture note reference
+
++ YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors, https://arxiv.org/abs/2207.02696
+
+# Repository or links references
+
+- https://github.com/WongKinYiu/yolov7
+- config / weights: https://github.com/WongKinYiu/yolov7/releases/download/v0.1/yolov7-tiny.pt
+
+
+BibTeX entry and citation info
+```
+@inproceedings{wang2023yolov7,
+  title={{YOLOv7}: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors},
+  author={Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
+  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+  year={2023}
+}
+@article{wang2023designing,
+  title={Designing Network Design Strategies Through Gradient Path Analysis},
+  author={Wang, Chien-Yao and Liao, Hong-Yuan Mark and Yeh, I-Hau},
+  journal={Journal of Information Science and Engineering},
+  year={2023}
+}
+```