Remove project link sentence from overview

README.md

@@ -27,7 +27,7 @@ Accepted at **International Journal of Computer Vision (IJCV), 2026**.
 
 ## Overview
 
-TARGO is a benchmark for target-driven 6D robotic grasping under occlusion. It evaluates how grasping performance changes as target visibility decreases, using large-scale synthetic data and real-world scenes. TARGO-Net is a transformer-based grasping model with a shape completion module, designed to remain robust as occlusion increases. The benchmark dataset and project details are available at [https://targo-benchmark.github.io/](https://targo-benchmark.github.io/).
+TARGO is a benchmark for target-driven 6D robotic grasping under occlusion. It evaluates how grasping performance changes as target visibility decreases, using large-scale synthetic data and real-world scenes. TARGO-Net is a transformer-based grasping model with a shape completion module, designed to remain robust as occlusion increases.
 
 ## Checkpoints