Update README.md

Files changed (1) hide show

README.md CHANGED Viewed

@@ -52,7 +52,7 @@ model-index:
 # M-Hood: Models for Mitigating Hallucinations in Object Detection
 [![Paper](https://img.shields.io/badge/Paper-PDF-red)](https://gricad-gitlab.univ-grenoble-alpes.fr/dnn-safety/m-hood) <!-- Replace with actual paper link when available -->
-[![Code & Datasets](https://img.shields.io/badge/Code%20%26%20Datasets-GitLab-orange)](https://gricad-gitlab.univ-grenoble-alpes.fr/dnn-safety/m-hood)
 This repository contains the official models from the paper **"Mitigating Hallucinations in Object Detection Models: A Revisit to Out-of-Distribution Detection"**. It provides a collection of YOLOv10 and Faster R-CNN models, including both standard ("vanilla") baselines and our novel **fine-tuned models** designed to significantly reduce false positive detections on out-of-distribution (OoD) data.

 # M-Hood: Models for Mitigating Hallucinations in Object Detection
 [![Paper](https://img.shields.io/badge/Paper-PDF-red)](https://gricad-gitlab.univ-grenoble-alpes.fr/dnn-safety/m-hood) <!-- Replace with actual paper link when available -->
+[![Datasets](https://img.shields.io/badge/Code%20%26%20Datasets-GitLab-orange)](https://huggingface.co/datasets/HugoHE/m-hood-dataset)
 This repository contains the official models from the paper **"Mitigating Hallucinations in Object Detection Models: A Revisit to Out-of-Distribution Detection"**. It provides a collection of YOLOv10 and Faster R-CNN models, including both standard ("vanilla") baselines and our novel **fine-tuned models** designed to significantly reduce false positive detections on out-of-distribution (OoD) data.