Upload README.md with huggingface_hub

README.md

@@ -1,13 +1,36 @@
-# OCR Dataset (YOLO Format) - 50% Resolution
+# Blueprint OCR Dataset (YOLO Format)
 
-Images resized to 50% of original for faster training and smaller download.
+Images resized to 50% resolution for faster training and smaller download size.
+
+## Quick Start
+
+```python
+from huggingface_hub import hf_hub_download
+import zipfile
+
+# Download
+zip_path = hf_hub_download(
+    repo_id="packshotter/blueprint-dataset",
+    filename="blueprint-dataset.zip",
+    repo_type="dataset"
+)
+
+# Extract
+with zipfile.ZipFile(zip_path, 'r') as z:
+    z.extractall('.')
+
+# Train with YOLOv8
+from ultralytics import YOLO
+model = YOLO('yolov8n.pt')
+model.train(data='ocr_yolo_half/data.yaml', epochs=100, imgsz=640)
+```
 
 ## Statistics
 
-| Split | Images | Annotations |
-|-------|--------|-------------|
-| Train | 9,018 | 286,772 |
-| Val | 1,129 | 36,512 |
+| Split | Images | 
+|-------|--------|
+| Train | 9,018 |
+| Val   | 1,129 |
 
 ## 23 Classes
 
@@ -37,28 +60,15 @@ Images resized to 50% of original for faster training and smaller download.
 | 21 | 공간_기타 |
 | 22 | 공간_엘리베이터 |
 
-## Quick Start
-
-```python
-from huggingface_hub import snapshot_download
-
-# Download
-path = snapshot_download(repo_id="packshotter/blueprint-dataset", repo_type="dataset")
-
-# Train YOLOv8
-from ultralytics import YOLO
-model = YOLO('yolov8n.pt')
-model.train(data=f"{path}/data.yaml", epochs=100, imgsz=640)
-```
-
-## Structure
+## Structure (after extraction)
 
 ```
-├── data.yaml
+ocr_yolo_half/
+├── data.yaml          # YOLO config
 ├── images/
-│   ├── train/
-│   └── val/
+│   ├── train/         # 9,018 images (1754x2481)
+│   └── val/           # 1,129 images
 └── labels/
-    ├── train/
+    ├── train/         # YOLO format .txt
     └── val/
 ```