Update README.md

README.md

@@ -1,3 +1,8 @@
+---
+license: cc-by-4.0
+pretty_name: IPD
+---
+
 # Industrial Plenoptic Dataset (IPD)
 
 To download the data and extract it into BOP format simply execute:
@@ -14,4 +19,34 @@ wget $SRC/ipd/resolve/main/ipd_train_pbr.zip    # PBR training images
 7z x ipd_test_all.zip -oipd    # Unpacks to "ipd".
 7z x ipd_test_all.zip -oipd   # Unpacks to "ipd".
 7z x ipd_train_pbr.zip -oipd  # Unpacks to "ipd".
-```
+```
+
+
+
+## Dataset parameters
+
+* Objects: 10
+* Object models: Mesh models
+* Modalities: Three cameras are placed in each scene. Image, depth, angle of linear 
+                polarization (AOLP), and degree of linear polarization (DOLP) data 
+                are rendered for each camera.
+
+
+## Training PBR images splits
+
+Scenes 000000–000004 contain objects 0, 8, 18, 19, 20.
+Scenes 000005–000009 contain objects 1, 4, 10, 11, 14.
+
+
+## Dataset format
+
+General information about the dataset format can be found in:
+https://github.com/thodan/bop_toolkit/blob/master/docs/bop_datasets_format.md
+
+
+## References
+
+[1] Agastya Kalra, Guy Stoppi, Dmitrii Marin, Vage Taamazyan, Aarrushi Shandilya, 
+    Rishav Agarwal, Anton Boykov, Tze Hao Chong, Michael Stark; Proceedings of the 
+    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 
+    pp. 22691-22701