Update README.md

README.md

@@ -1,20 +1,28 @@
 ---
 language:
 - en
-arxiv:
-- 2306.09682
 license:
 - cc-by-nc-4.0
 task_categories:
 - image-segmentation
 splits:
-  - name: train
-  - name: validation
-  - name: test
+- name: train
+- name: validation
+- name: test
 viewer: false
+tags:
+- object-centric learning
 ---
 
-# OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning 
+# OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning
+
+## Dataset Description
+
+- **Paper:** [OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning](https://arxiv.org/abs/2306.09682)
+- **Team:** [FudanVI](https://github.com/FudanVI)
+- **Point of Contact:** [Yinxuan Huang](yxhuang22@m.fudan.edu.cn)
+
+### Dataset Summary
 
 This is the official dataset of OCTScenes (https://arxiv.org/abs//2306.09682). OCTScenes contains 5000 tabletop scenes with a total of 15 everyday objects. Each scene is captured in 60 frames covering a 360-degree perspective. 
 
@@ -34,5 +42,4 @@ And then decompress the file:
 tar xvzf image_128x128.tar.gz
 ``` 
 
-Download the segmentation annotations from `./128x128/segments_128.tar.gz`. We provide the segmentations of test scenes 3100-3199 for OCTScenes-A and 4900-4999 for OCTScenes-B. Each segmentation annotation image is named as `[scene_id]_[frame_id].png`. The int number in each pixel represents the index of the object (ranges from 1 to 10, and 0 represents the background).
-
+Download the segmentation annotations from `./128x128/segments_128.tar.gz`. We provide the segmentations of test scenes 3100-3199 for OCTScenes-A and 4900-4999 for OCTScenes-B. Each segmentation annotation image is named as `[scene_id]_[frame_id].png`. The int number in each pixel represents the index of the object (ranges from 1 to 10, and 0 represents the background).