Update README with latest SAHI resources and demo links

- Increase citation count to 300+
- Add new 2025 video tutorial link
- Update Colab notebook links for YOLO12, YOLO11-OBB, and YOLO11
- Remove (NEW) tag from some existing links
- Add Encord blog link explaining Slicing Aided Hyper Inference

Author: fcakyon

README.md

@@ -43,7 +43,7 @@ Object detection and instance segmentation are by far the most important applica
 
 ## <div align="center">Quick Start Examples</div>
 
-[📜 List of publications that cite SAHI (currently 200+)](https://scholar.google.com/scholar?hl=en&as_sdt=2005&sciodt=0,5&cites=14065474760484865747&scipsc=&q=&scisbd=1)
+[📜 List of publications that cite SAHI (currently 300+)](https://scholar.google.com/scholar?hl=en&as_sdt=2005&sciodt=0,5&cites=14065474760484865747&scipsc=&q=&scisbd=1)
 
 [🏆 List of competition winners that used SAHI](https://github.com/obss/sahi/discussions/688)
 
@@ -55,11 +55,15 @@ Object detection and instance segmentation are by far the most important applica
 
 - [Pretrained weights and ICIP 2022 paper files](https://github.com/fcakyon/small-object-detection-benchmark)
 
-- [Visualizing and Evaluating SAHI predictions with FiftyOne](https://voxel51.com/blog/how-to-detect-small-objects/) (2024) (NEW)
+- [2025 Video Tutorial](https://www.youtube.com/watch?v=ILqMBah5ZvI) (RECOMMENDED)
+
+- [Visualizing and Evaluating SAHI predictions with FiftyOne](https://voxel51.com/blog/how-to-detect-small-objects/)
 
 - ['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) (RECOMMENDED)
+- [Slicing Aided Hyper Inference Explained by Encord](https://encord.com/blog/slicing-aided-hyper-inference-explained/)
+
+- ['VIDEO TUTORIAL: Slicing Aided Hyper Inference for Small Object Detection - SAHI'](https://www.youtube.com/watch?v=UuOjJKxn-M8&t=270s)
 
 - [Video inference support is live](https://github.com/obss/sahi/discussions/626)
 
@@ -77,11 +81,13 @@ Object detection and instance segmentation are by far the most important applica
 
 - `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>
 
-- `YOLO11` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_ultralytics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov8"></a> (NEW)
+- `YOLO12` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_ultralytics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolo12"></a> (NEW)
 
-- `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)
+- `YOLO11-OBB` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_ultralytics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolo11-obb"></a> (NEW)
 
-- `YOLOv8` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_ultralytics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolov8"></a>
+- `YOLO11` + `SAHI` walkthrough: <a href="https://colab.research.google.com/github/obss/sahi/blob/main/demo/inference_for_ultralytics.ipynb"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="sahi-yolo11"></a>
+
+- `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)
 
 - `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>