Update README.md

Zenseact Open Dataset (ZOD) is a large-scale and diverse multimodal dataset collected over two years in various European countries, covering an area of 9x that of existing datasets. ZOD boasts the highest range and resolution sensors among comparable datasets, coupled with detailed keyframe annotations for 2D and 3D objects (up to 245m), road instance/semantic segmentation, traffic sign recognition, and road classification. The dataset comprises Frames, Sequences, and Drives designed to encompass data diversity and support for spatio-temporal learning, sensor fusion, localization, and mapping. Frames consist of 100k curated camera images with two seconds of other supporting sensor data, while the 1473 Sequences and 29 Drives include the entire sensor suite for 20 seconds and a few minutes, respectively. ZOD is the only large-scale AD dataset released under a permissive license, allowing for research and commercial use. More information and an extensive devkit can be found at https://zod.zenseact.com.

README.md

@@ -1,3 +1,24 @@
 ---
 license: cc-by-sa-4.0
----
+task_categories:
+- object-detection
+- image-classification
+- depth-estimation
+- image-segmentation
+- instance-segmentation
+- traffic-sign-recognition
+language:
+- en
+tags:
+- Autonomous Driving
+- Autonomous Vehicles
+- Images
+- Lidar
+- GNSS/IMU
+- Vehicle Data
+- Satellite Positioning
+pretty_name: ZOD
+size_categories:
+- 10K<n<100K
+paperswithcode_id: zenseact-open-dataset
+---