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+![Darknet Logo](http://pjreddie.com/media/files/darknet-black-small.png)
+
+# Darknet #
+Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
+
+**Discord** invite link for for communication and questions: https://discord.gg/zSq8rtW
+
+## Scaled-YOLOv4: 
+
+* **paper (CVPR 2021)**: https://openaccess.thecvf.com/content/CVPR2021/html/Wang_Scaled-YOLOv4_Scaling_Cross_Stage_Partial_Network_CVPR_2021_paper.html
+
+* **source code - Pytorch (use to reproduce results):** https://github.com/WongKinYiu/ScaledYOLOv4
+
+* **source code - Darknet:** https://github.com/AlexeyAB/darknet
+
+* **Medium:** https://alexeyab84.medium.com/scaled-yolo-v4-is-the-best-neural-network-for-object-detection-on-ms-coco-dataset-39dfa22fa982?source=friends_link&sk=c8553bfed861b1a7932f739d26f487c8
+
+## YOLOv4:
+
+* **paper:** https://arxiv.org/abs/2004.10934
+
+* **source code:** https://github.com/AlexeyAB/darknet
+
+* **Wiki:** https://github.com/AlexeyAB/darknet/wiki
+
+* **useful links:** https://medium.com/@alexeyab84/yolov4-the-most-accurate-real-time-neural-network-on-ms-coco-dataset-73adfd3602fe?source=friends_link&sk=6039748846bbcf1d960c3061542591d7
+
+For more information see the [Darknet project website](http://pjreddie.com/darknet).
+
+
+![yolo_progress](https://user-images.githubusercontent.com/4096485/146988929-1ed0cbec-1e01-4ad0-b42c-808dcef32994.png) https://paperswithcode.com/sota/object-detection-on-coco
+
+----
+
+![scaled_yolov4](https://user-images.githubusercontent.com/4096485/112776361-281d8380-9048-11eb-8083-8728b12dcd55.png) AP50:95 - FPS (Tesla V100) Paper: https://arxiv.org/abs/2011.08036
+
+----
+
+![YOLOv4Tiny](https://user-images.githubusercontent.com/4096485/101363015-e5c21200-38b1-11eb-986f-b3e516e05977.png)
+
+----
+
+![YOLOv4](https://user-images.githubusercontent.com/4096485/90338826-06114c80-dff5-11ea-9ba2-8eb63a7409b3.png)
+
+
+----
+
+![OpenCV_TRT](https://user-images.githubusercontent.com/4096485/90338805-e5e18d80-dff4-11ea-8a68-5710956256ff.png)
+
+
+## Citation
+
+```
+@misc{bochkovskiy2020yolov4,
+      title={YOLOv4: Optimal Speed and Accuracy of Object Detection}, 
+      author={Alexey Bochkovskiy and Chien-Yao Wang and Hong-Yuan Mark Liao},
+      year={2020},
+      eprint={2004.10934},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```
+
+```
+@InProceedings{Wang_2021_CVPR,
+    author    = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark},
+    title     = {{Scaled-YOLOv4}: Scaling Cross Stage Partial Network},
+    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
+    month     = {June},
+    year      = {2021},
+    pages     = {13029-13038}
+}
+```