Update model card for yolo11-det

README.md

@@ -45,9 +45,9 @@ model-index:
 **NXP i.MX 8M Plus** | **NXP i.MX 93** | **NXP i.MX 95** | **NXP Ara240** | **RPi5 + Hailo-8/8L** | **NVIDIA Jetson**
 YOLO11 Detection models optimized for edge AI deployment across multiple hardware platforms. All sizes from Nano to XLarge, in ONNX FP32 and TFLite INT8 formats, with platform-specific compiled models for NPU acceleration.
 
-Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/1123/datasets/gallery/main?dataset=4819) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst).
+Trained on [COCO 2017](https://test.edgefirst.studio/public/projects/2839/home) (80 classes). Part of the [EdgeFirst Model Zoo](https://huggingface.co/EdgeFirst).
 > [!TIP]
-> **Training session**: [View on EdgeFirst Studio](https://test.edgefirst.studio/public/projects/1123/experiment/training/details?train_session_id=9506) — dataset, training config, metrics, and exported artifacts.
+> **Training session**: [View on EdgeFirst Studio](https://test.edgefirst.studio/public/projects/2839/experiment/training/list?exp_id=4656) — dataset, training config, metrics, and exported artifacts.
 
 > [!NOTE]
 > Newer architecture with attention blocks.