Datasets:

yaraalaa0
/

TopAir

@@ -1,4 +1,6 @@
 ---
 task_categories:
 - depth-estimation
 - image-segmentation
@@ -16,8 +18,6 @@ tags:
 - video
 - depth
 - segmentation
-size_categories:
-- 1K<n<10K
 ---
 # TopAir: Light-Weight Aerial dataset for Monocular Depth Estimation and Semantic Segmentation
@@ -33,7 +33,6 @@ size_categories:
 This dataset was collected with a nadir view (top view) using AirSim simulator in various outdoor environments (both rural and urban). It contains video frames collected in differet trajectories along with annotation of depth maps and semantic segmentation maps. The extrinsic camera locations corresponding to each frame are also provided.
 **TopAir** was collected at low, mid, and high altitudes varying from 10 to 100 meters above the ground. This is a light-weight dataset with an image resolution of 384x384 and 10,385 total number of frames.
 ## Dataset Details
 The dataset was collected using different environments in UnrealEngine4 integrated with AirSim simulator. These environments are:
@@ -67,7 +66,6 @@ The semantic segmentation maps of **TopAir** contain 9 classes:
 Per-pixel class distribution:
 <img src="./assets/topair_distribution.png" width="50%"/>
 To convert depth maps to their corresponding meter values:
 ```
@@ -77,12 +75,12 @@ depth_value (in meters) = pixel_value*100.0/255.0
 The reference frames convention used in the collection of TopAir:
 <img src="./assets/camera_axis.png" width="50%"/>
 ### Dataset Sources
 <!-- Provide the basic links for the dataset. -->
-- **Paper:** ....
 - **Demo:** ....
 ## Uses
@@ -136,7 +134,6 @@ The dataset is organized as follows:
 ......
 ## Citation
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 If you use TopAir dataset, please like our dataset repository and cite this page:
@@ -156,4 +153,4 @@ If you use TopAir dataset, please like our dataset repository and cite this page
 ```
 AlaaEldin, Y. (n.d.). Yaraalaa0/TopAir · Datasets at hugging face. yaraalaa0/TopAir · Datasets at Hugging Face. https://huggingface.co/datasets/yaraalaa0/TopAir
-```

 ---
+size_categories:
+- 1K<n<10K
 task_categories:
 - depth-estimation
 - image-segmentation
 - video
 - depth
 - segmentation
 ---
 # TopAir: Light-Weight Aerial dataset for Monocular Depth Estimation and Semantic Segmentation
 This dataset was collected with a nadir view (top view) using AirSim simulator in various outdoor environments (both rural and urban). It contains video frames collected in differet trajectories along with annotation of depth maps and semantic segmentation maps. The extrinsic camera locations corresponding to each frame are also provided.
 **TopAir** was collected at low, mid, and high altitudes varying from 10 to 100 meters above the ground. This is a light-weight dataset with an image resolution of 384x384 and 10,385 total number of frames.
 ## Dataset Details
 The dataset was collected using different environments in UnrealEngine4 integrated with AirSim simulator. These environments are:
 Per-pixel class distribution:
 <img src="./assets/topair_distribution.png" width="50%"/>
 To convert depth maps to their corresponding meter values:
 ```
 The reference frames convention used in the collection of TopAir:
 <img src="./assets/camera_axis.png" width="50%"/>
 ### Dataset Sources
 <!-- Provide the basic links for the dataset. -->
+- **Paper:** [Co-SemDepth: Fast Joint Semantic Segmentation and Depth Estimation on Aerial Images](https://huggingface.co/papers/2503.17982)
+- **Code:** https://github.com/Malga-Vision/Co-SemDepth
 - **Demo:** ....
 ## Uses
 ......
 ## Citation
 <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
 If you use TopAir dataset, please like our dataset repository and cite this page:
 ```
 AlaaEldin, Y. (n.d.). Yaraalaa0/TopAir · Datasets at hugging face. yaraalaa0/TopAir · Datasets at Hugging Face. https://huggingface.co/datasets/yaraalaa0/TopAir
+```