update readme (#1034)

README.md

@@ -58,26 +58,36 @@ Object detection and instance segmentation are by far the most important applica
 
 - [Visualizing and Evaluating SAHI predictions with FiftyOne](https://voxel51.com/blog/how-to-detect-small-objects/) (2024) (NEW)
 
-- ['Exploring SAHI' Research Article from 'learnopencv.com'](https://learnopencv.com/slicing-aided-hyper-inference/) (2023) (NEW)
+- ['Exploring SAHI' Research Article from 'learnopencv.com'](https://learnopencv.com/slicing-aided-hyper-inference/)
 
-- ['VIDEO TUTORIAL: Slicing Aided Hyper Inference for Small Object Detection - SAHI'](https://www.youtube.com/watch?v=UuOjJKxn-M8&t=270s) (2023) (NEW)
+- ['VIDEO TUTORIAL: Slicing Aided Hyper Inference for Small Object Detection - SAHI'](https://www.youtube.com/watch?v=UuOjJKxn-M8&t=270s) (RECOMMENDED)
 
 - [Video inference support is live](https://github.com/obss/sahi/discussions/626)
 
 - [Kaggle notebook](https://www.kaggle.com/remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx)
 
 - [Satellite object detection](https://blog.ml6.eu/how-to-detect-small-objects-in-very-large-images-70234bab0f98)
 
-- [Error analysis plots & evaluation](https://github.com/obss/sahi/discussions/622) (NEW)
+- [Error analysis plots & evaluation](https://github.com/obss/sahi/discussions/622) (RECOMMENDED)
 
-- [Interactive result visualization and inspection](https://github.com/obss/sahi/discussions/624) (NEW)
+- [Interactive result visualization and inspection](https://github.com/obss/sahi/discussions/624) (RECOMMENDED)
 
 - [COCO dataset conversion](https://medium.com/codable/convert-any-dataset-to-coco-object-detection-format-with-sahi-95349e1fe2b7)
 
 - [Slicing operation notebook](demo/slicing.ipynb)
 
 - `YOLOX` + `SAHI` demo: <a href="https://huggingface.co/spaces/fcakyon/sahi-yolox"><img src="https://raw.githubusercontent.com/obss/sahi/main/resources/hf_spaces_badge.svg" alt="sahi-yolox"></a> (RECOMMENDED)
 
+- `RT-DETR` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_rtdetr.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-rtdetr"></a> (NEW)
+
+- `YOLOv8` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolov8.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov8"></a> (NEW)
+
+- `SuperGradients/YOLONAS` + `SAHI`: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolonas.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolonas"></a> (NEW)
+
+- `DeepSparse` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_sparse_yolov5.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-deepsparse"></a>
+
+- `HuggingFace` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_huggingface.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-huggingface"></a>
+
 - `YOLOv5` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolov5.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov5"></a>
 
 - `MMDetection` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_mmdetection.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-mmdetection"></a>
@@ -86,11 +96,6 @@ Object detection and instance segmentation are by far the most important applica
 
 - `TorchVision` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_torchvision.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-torchvision"></a>
 
-- `HuggingFace` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_huggingface.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-huggingface"></a> (NEW)
-
-- `DeepSparse` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_sparse_yolov5.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-deepsparse"></a> (NEW)
-
-- `SuperGradients/YOLONAS` + `SAHI`: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_yolonas.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolonas"></a> (NEW) 
 
 <a href="https://huggingface.co/spaces/fcakyon/sahi-yolox"><img width="600" src="https://user-images.githubusercontent.com/34196005/144092739-c1d9bade-a128-4346-947f-424ce00e5c4f.gif" alt="sahi-yolox"></a>