Update README.md

README.md

@@ -67,14 +67,12 @@ After excluding frames that COLMAP fails to co-register and the entirety of data
 SCARED-C is intended for research in surgical computer vision, particularly:
 
 - Training and evaluating monocular and stereo **depth estimation** models on real surgical tissue.
-- **RGB-D self-supervised pretraining** for surgical scene understanding.
 - Benchmarking **Structure-from-Motion** and **SLAM** methods in endoscopic settings.
 - Evaluating zero-shot generalization of foundation models (e.g., FoundationStereo, Depth Anything) to surgical imagery.
 
 ### Out-of-Scope Use
 
 - **Clinical use of any kind.** This dataset consists of ex-vivo porcine abdominal scenes and is not suitable for training models intended for direct clinical deployment without further validation, regulatory approval, and in-vivo data.
-- **Training in-the-wild depth models without surgical-domain context.** The imagery is highly domain-specific (specular tissue, narrow FoV, controlled lighting); models trained solely on SCARED-C should not be expected to generalize to natural images.
 - **Commercial use** is restricted by the underlying SCARED license terms.
 
 ## Dataset Structure