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README.md

@@ -9,49 +9,6 @@ tags:
 - object-detection
 size_categories:
 - 1K<n<10K
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: valid
-    path: data/valid-*
-  - split: test
-    path: data/test-*
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: image_id
-    dtype: string
-  - name: annotations
-    sequence:
-    - name: class_id
-      dtype: int32
-    - name: x_center
-      dtype: float32
-    - name: y_center
-      dtype: float32
-    - name: width
-      dtype: float32
-    - name: height
-      dtype: float32
-  - name: image_width
-    dtype: int32
-  - name: image_height
-    dtype: int32
-  splits:
-  - name: train
-    num_bytes: 14796314.0
-    num_examples: 606
-  - name: valid
-    num_bytes: 1390937.0
-    num_examples: 58
-  - name: test
-    num_bytes: 742690.0
-    num_examples: 29
-  download_size: 16901375
-  dataset_size: 16929941.0
 ---
 
 # Chess Piece Detection Dataset: chess_pieces_roboflow
@@ -66,7 +23,7 @@ Chess piece detection dataset from Roboflow with processed labels, cleaned and s
 
 The dataset follows the YOLOv8 format with the following structure:
 - `train/`: Training images and labels
-- `valid/`: Validation images and labels  
+- `valid/`: Validation images and labels
 - `test/`: Test images and labels
 
 ## Classes

data.yaml

@@ -1,6 +1,6 @@
-train: train/images
-val: valid/images
-test: test/images
+train: ../train/images
+val: ../valid/images
+test: ../test/images
 names:
   0: black-bishop
   1: black-king
@@ -14,4 +14,3 @@ names:
   9: white-pawn
   10: white-queen
   11: white-rook
-nc: 12