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README.md

@@ -1,38 +1,33 @@
 ---
-dataset_info:
-  features:
-  - name: image
-    dtype: image
-  - name: objects
-    struct:
-    - name: bbox
-      list:
-        list: float32
-        length: 4
-    - name: category
-      list:
-        class_label:
-          names:
-            '0': barcode
-  splits:
-  - name: train
-    num_bytes: 2026229624
-    num_examples: 13087
-  - name: validation
-    num_bytes: 403490359
-    num_examples: 2804
-  - name: test
-    num_bytes: 371054845
-    num_examples: 2806
-  download_size: 2583848975
-  dataset_size: 2800774828
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+license: unknown
+task_categories:
+- object-detection
+---
+
+# Dataset Card
+
+Uploaded using [coco2hf](https://github.com/benjamintli/coco2hf)
+
+This dataset contains object detection annotations in COCO format, converted to HuggingFace image dataset format.
+
+## Dataset Details
+
+- **Number of classes**: 1
+- **Splits**: train, test, validation
+- **Format**: Images with bounding box annotations
+
+## Classes
+
+The dataset contains the following 1 classes:
+
+- barcode
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("benjamintli/barcode-object-detection")
+```
+
 ---