Update README.md

README.md

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 # Physical AI Smart Spaces Dataset
 
-![Demo of MTMC_Tracking_2025](./demo.gif)
+![Demo of MTMC_Tracking](./demo.gif)
 
 ## Overview
-Comprehensive, annotated dataset for multi-camera tracking and 2D/3D object detection. This dataset is synthetically generated with Omniverse.
+Comprehensive, annotated dataset for multi-camera tracking and 2D/3D object detection. This dataset is synthetically generated with Omniverse and Cosmos Transfer.
 
-This dataset consists of over 250 hours of video from across nearly 1,500 cameras from indoor scenes in warehouses, hospitals, retail, and more. The dataset is time synchronized for tracking humans across multiple cameras using feature representation and no personal data.
+This dataset consists of over 280 hours of video from across nearly 1,800 cameras from indoor scenes in warehouses, hospitals, retail, and more. The dataset is time synchronized for tracking humans, forklifts, pallet trucks and Autonomous Mobile Robots (AMRs) across multiple cameras.
 
 ## Dataset Description
 
@@ -227,6 +227,7 @@ NVIDIA believes Trustworthy AI is a shared responsibility and we have establishe
 Please report security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).
 
 ## Changelog
+- **2026-04-30**: Released training and validation data of `MTMC_Tracking_2026`, including synthetic data generated by IsaacSim and Cosmos Transfer.
 - **2025-07-14**: Provided evaluation tools for both 2024 and 2025 datasets.
 - **2025-06-16**: Corrected rotation and misalignment issues in ground truth and calibration for `MTMC_Tracking_2025` scenes.
 - **2025-04-27**: Added depth maps to all `MTMC_Tracking_2025` scenes.