Update README.md

README.md

@@ -12,12 +12,14 @@ license: cc-by-4.0
 
 # CrowdSAL: Video Saliency Dataset and Benchmark
 
+<img width="1920" height="471" alt="Teaser_scaled" src="https://github.com/user-attachments/assets/3c63d7bb-c5cf-4d22-9d59-ba6dced25835" />
+
 
 ## Dataset
-[![Dataset on HF](https://huggingface.co/datasets/huggingface/badges/resolve/main/dataset-on-hf-md-dark.svg)](https://huggingface.co/datasets/ANDRYHA/CrowdSAL)
+[![Dataset Page](https://img.shields.io/badge/Dataset-Page-brightgreen?style=for-the-badge)](https://videoprocessing.ai/datasets/crowdsal.html)
+[![GitHub Code](https://img.shields.io/badge/Github%20Code-blue?style=for-the-badge&logo=github)](https://github.com/msu-video-group/CrowdSAL)
 [![Google Drive](https://img.shields.io/badge/Google%20Drive-4285F4?style=for-the-badge&logo=googledrive&logoColor=white)](https://drive.google.com/drive/folders/1daH-14w_vHLc9OuGQ_RU0HgUv_Wc3G0o?usp=sharing)
 
-
 **CrowdSAL** is the largest video saliency dataset with the following key features:
 * Large scale: **5000** videos with mean **18.4s** duration, **2.7M+** frames;
 * Mouse fixations from **>19000** observers (**>75** per video);
@@ -36,7 +38,9 @@ license: cc-by-4.0
 
 4) `Fixations` — 5000 json files with per-frame fixation coordinates, from which saliency maps were obtained;
 
-5) `metadata.jsonl` — meta information about each video (e.g. license, source URL, etc.)
+5) `metadata.jsonl` — meta information about each video (e.g. license, source URL, etc.);
+
+6) `bench.py` — code for CrowdSAL benchmark evaluation.
 
 
 ## Benchmark Evaluation