Update README.md

README.md

@@ -30,7 +30,7 @@ dataset_info:
         dtype: int64
       - name: x
         dtype: int64
-      - name: y
+      - name: 'y'
         dtype: int64
     - name: trees
       list:
@@ -59,4 +59,161 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- geography
+- trees
+- tree
+- satellite
+- spacial
+- geospatial
+size_categories:
+- 10K<n<100K
 ---
+# Dataset Card for Satellite Trees Wroclaw 2022
+
+
+
+
+The Satellite Trees Wroclaw 2022 dataset contains high-resolution satellite imagery and metadata of trees in Wroclaw, Poland, collected in 2022. The dataset is organized into three main directories: `images`, `metadata`, and `results`.
+
+- `images/`: Contains orthophotomaps of different regions in Wroclaw.
+- `metadata/`: Contains JSON files with metadata for each tile, including information about the trees in the corresponding satellite images.
+- `results/`: Contains examples of results with trees painted on each image. (using the center of tree and radius derived from area)
+
+This dataset can be used for various tasks such as tree detection, classification, and other geospatial tasks!
+
+## Dataset Details
+
+### Dataset Description
+
+
+
+
+### Metadata Description
+
+Each JSON file in the `metadata/` directory contains information about the trees in the corresponding satellite image tile.
+Structure of json object:
+
+- `tile_coords`: list of x, y, z of tile from specified orthophotomaps.
+- `tile_metadata`: 
+  - `bbox`: bounding box of a tile "bbox = left,bottom,right,top"
+  - `resolution`: resulution in pixels of image
+  - `crs`: coordinate reference system
+  - `edge_in_meters`: how many meters does the edge of tile has.
+- `corners`: list of corners of a tile in order: left-bottom, left-top, right-top, right-bottom. [Longitute, Latitude]
+- `trees`: list of tree details from specified source
+  - `height`: Height of the tree.
+  - `e`: Eccentricity of the tree. (not confirmed!)
+  - `volume`: Volume of the tree. m^3
+  - `area`: Area covered by the tree. m^2
+  - `latitude`: Latitude coordinate of the tree.
+  - `longitude`: Longitude coordinate of the tree.
+- `transformed_trees`: list of trees after transformation to image space in pixels with radius calculated from area.
+  - `latitude`: Latitude coordinate of the tree.
+  - `longitude`: Longitude coordinate of the tree.
+  - `x`: X-coordinate in the image space.
+  - `y`: Y-coordinate in the image space.
+  - `radius`: Radius of the tree in pixels, calculated from the area.
+
+
+
+```json
+{
+    "tile_coords": [
+        143378,
+        87608,
+        18
+    ],
+    "tile_metadata": {
+        "bbox": [
+            16.89971923828125,
+            51.13024583390033,
+            16.901092529296875,
+            51.131107637580136
+        ],
+        "resolution": 1024,
+        "crs": "CRS:84",
+        "edge_in_meters": 96
+    },
+    "corners": [
+        [
+            16.89971923828125,
+            51.13024583390033
+        ],
+        [
+            16.901092529296875,
+            51.13024583390033
+        ],
+        [
+            16.901092529296875,
+            51.131107637580136
+        ],
+        [
+            16.89971923828125,
+            51.131107637580136
+        ]
+    ],
+    "trees": [
+        {
+            "height": 8.05,
+            "e": 1.2,
+            "volume": 239.54,
+            "area": 27,
+            "latitude": 51.13105191475769,
+            "longitude": 16.89974462238265
+        },
+        {
+            "height": 9.49,
+            "e": 1.27,
+            "volume": 311.35,
+            "area": 62,
+            "latitude": 51.13101159452683,
+            "longitude": 16.899798270669734
+        },
+        ...
+    ],
+    "transformed_trees": [
+        {
+            "latitude": 51.13105191475769,
+            "longitude": 16.89974462238265,
+            "x": 18,
+            "y": 66,
+            "radius": 31
+        },
+        {
+            "latitude": 51.13101159452683,
+            "longitude": 16.899798270669734,
+            "x": 58,
+            "y": 114,
+            "radius": 47
+        },
+        ...
+    ]
+}
+```
+
+Of course you can extract more info about trees and place them into the image by iterating through the original trees list and modifying the transformed one.
+
+
+### Dataset Sources 
+
+<!-- Provide the basic links for the dataset. -->
+
+- **Repository:** [github](https://github.com/Filipstrozik/spatial-data)
+<!-- - **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed] -->
+
+
+## Dataset Creation
+
+Dataset was generated by iterating the maximum possible zoom of tile for chosen orthophotomaps (zoom: 18) in x and y directions.
+We downloaded each tile as an image with 1024x1024 resolution. We calculated the lat long coordinates for futher calculations. 
+After having corners of tile we could get trees details from public api. We had to make some transformations to be able to draw trees on the images.
+
+
+#### Annotation process
+
+We believe that ground truth annotations are legit. 
+**Trees**: [Trees data](https://mapadrzew.com/)
+
+**Orthophotomaps**: [GIS Wroclaw](https://geoportal.wroclaw.pl/mapy/ortofoto/)