Update README.md

README.md

@@ -1,47 +1,67 @@
----
-license: unknown
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: file_name
-    dtype: string
-  - name: height
-    dtype: int64
-  - name: width
-    dtype: int64
-  - name: id
-    dtype: int64
-  - name: annotations
-    list:
-    - name: area
-      dtype: float64
-    - name: bbox
-      list: float64
-    - name: category_id
-      dtype: int64
-    - name: segmentation
-      list:
-        list: float64
-  - name: image
-    dtype: image
-  splits:
-  - name: train
-    num_bytes: 195925948
-    num_examples: 2429
-  - name: validation
-    num_bytes: 435266
-    num_examples: 243
-  - name: test
-    num_bytes: 490041
-    num_examples: 272
-  download_size: 167379319
-  dataset_size: 196851255
----
+---
+license: unknown
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-*
+  - split: validation
+    path: data/validation-*
+  - split: test
+    path: data/test-*
+dataset_info:
+  features:
+  - name: file_name
+    dtype: string
+  - name: height
+    dtype: int64
+  - name: width
+    dtype: int64
+  - name: id
+    dtype: int64
+  - name: annotations
+    list:
+    - name: area
+      dtype: float64
+    - name: bbox
+      list: float64
+    - name: category_id
+      dtype: int64
+    - name: segmentation
+      list:
+        list: float64
+  - name: image
+    dtype: image
+  splits:
+  - name: train
+    num_bytes: 195925948
+    num_examples: 2429
+  - name: validation
+    num_bytes: 435266
+    num_examples: 243
+  - name: test
+    num_bytes: 490041
+    num_examples: 272
+  download_size: 167379319
+  dataset_size: 196851255
+task_categories:
+- image-segmentation
+tags:
+- floorplans
+- rooms
+size_categories:
+- 1K<n<10K
+---
+
+# Floorplans Dataset
+
+This dataset is derived from the Floorplans Diff dataset and has been curated by removing all unannotated images to ensure clean and consistent training data.
+
+It is designed for semantic image segmentation, specifically focusing on identifying and segmenting rooms within floorplan images.
+Each sample consists of an image paired with a corresponding segmentation mask, enabling models to learn pixel-level classification for the room class.
+
+## Origin
+
+This dataset is based on the publicly available Roboflow dataset:
+Floorplans Diff (Floorplans-i0i4r)
+**Source**: https://universe.roboflow.com/floorplans-i0i4r/floorplans-diff