Update README (#1615)

* Update README * Update README * Update image * Update image
Deci-AI · Nov 7, 2023 · 0fa32c2 · 0fa32c2
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diff --git a/README.md b/README.md
@@ -46,11 +46,15 @@ ________________________________________________________________________________
 
 ### Ready to deploy pre-trained SOTA models
 
-YOLO-NAS architecture is out! The new YOLO-NAS delivers state-of-the-art performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv5, YOLOv6, YOLOv7 and YOLOv8.
-Check it out here: [YOLO-NAS](YOLONAS.md).
+YOLO-NAS and YOLO-NAS-POSE architectures are out! 
+The new YOLO-NAS delivers state-of-the-art performance with the unparalleled accuracy-speed performance, outperforming other models such as YOLOv5, YOLOv6, YOLOv7 and YOLOv8.
+A YOLO-NAS-POSE model for pose estimation is also available, delivering state-of-the-art accuracy/performance tradeoff.
+
+Check these out here: [YOLO-NAS](YOLONAS.md) & [YOLO-NAS-POSE](YOLONAS-POSE.md).
 
 <div align="center">
-<img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_frontier.png" width="800px">
+<img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_frontier.png" height="600px">
+<img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_pose_frontier_t4.png" height="600px">
 </div>
 
 ```python
@@ -77,6 +81,11 @@ model = models.get(Models.YOLO_NAS_M, pretrained_weights="coco")
 <img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/assets/SG_img/Object [email protected]" width="800px">
 </div>
 
+#### Pose Estimation
+<div align="center">
+<img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_pose_frontier_t4.png" width="400px">
+<img src="https://github.com/Deci-AI/super-gradients/raw/master/documentation/source/images/yolo_nas_pose_frontier_xavier_nx.png" width="400px">
+</div>
 
 ### Easy to train SOTA Models
 
@@ -123,6 +132,13 @@ pip install super-gradients
 
 ## What's New
 
+__________________________________________________________________________________________________________
+Version 3.4.0 (November 6, 2023)
+
+* [YoloNAS-Pose](YOLONAS-POSE.md) model released - a new frontier in pose estimation
+* Added option to export a recipe to a single YAML file or to a standalone train.py file 
+* Other bugfixes & minor improvements. Full release notes available [here](https://github.com/Deci-AI/super-gradients/releases/tag/3.4.0)
+
 __________________________________________________________________________________________________________
 Version 3.1.3 (July 19, 2023)
 
@@ -148,16 +164,6 @@ Version 3.1.1 (May 3rd)
 
 Check out SG full [release notes](https://github.com/Deci-AI/super-gradients/releases).
 
-## Coming soon
-__________________________________________________________________________________________________________
-- [ ] Pre-trained pose estimation model
-- [ ] Test Time Augmentations (TTA)
-- [ ] Recipe to train DEKR model(convertable to TRT) 
-- [ ] Key-points Rescoring for Pose estimation 
-- [ ] LR finder
-- [ ] Data analysis tools
-
-
 ## Table of Content
 __________________________________________________________________________________________________________
 <!-- toc -->

diff --git a/documentation/source/images/yolo_nas_pose_frontier_t4.png b/documentation/source/images/yolo_nas_pose_frontier_t4.png
diff --git a/documentation/source/images/yolo_nas_pose_frontier_xavier_nx.png b/documentation/source/images/yolo_nas_pose_frontier_xavier_nx.png
diff --git a/documentation/source/welcome.md b/documentation/source/welcome.md
@@ -32,29 +32,15 @@ Check out our [Quickstart tutorial](QuickstartBasicToolkit.md) to get learn the
 
 You can also start from our tutorial on [Detection](ObjectDetection.md), [Segmentation](Segmentation.md) or [Pose Estimation](PoseEstimation.md).
 
-## What's New (v3.1.0)
-__________________________________________________________________________________________________________
-
-* [YOLO-NAS](https://bit.ly/41WeNPZ)
-* New [predict function](https://bit.ly/3oZfaea) (predict on any image, video, url, path, stream)
-* [RoboFlow100](https://bit.ly/40YOJ5z) datasets integration 
-* A new [Documentation Hub](https://docs.deci.ai/super-gradients/documentation/source/welcome.html)
-* Integration with [DagsHub for experiment monitoring](https://bit.ly/3ALFUkQ)
-* Support [Darknet/Yolo format detection dataset](https://bit.ly/41VX6Qu) (used by Yolo v5, v6, v7, v8) 
-* [Segformer](https://bit.ly/3oYu6Jp) model and recipe 
-* Post Training Quantization and Quantization Aware Training - [notebooks](http://bit.ly/3KrN6an)
+## What's New
 
-Check out SG full [release notes](https://github.com/Deci-AI/super-gradients/releases).
-
-## Coming soon
 __________________________________________________________________________________________________________
+Version 3.4.0 (November 6, 2023)
+
+* [YoloNAS-Pose](YOLONAS-POSE.md) model released - a new frontier in pose estimation
+* Added option to export a recipe to a single YAML file or to a standalone train.py file 
+* Other bugfixes & minor improvements. Full release notes available [here](https://github.com/Deci-AI/super-gradients/releases/tag/3.4.0)
 
-- [ ] Pre-trained pose estimation model
-- [ ] Test Time Augmentations (TTA)
-- [ ] Recipe to train DEKR model(convertable to TRT) 
-- [ ] Key-points Rescoring for Pose estimation 
-- [ ] LR finder
-- [ ] Data analysis tools
 ## Citation
 
 If you are using SuperGradients library in your research, please cite SuperGradients deep learning training library.