change format

README.md

@@ -0,0 +1,95 @@
+---
+dataset_info:
+  features:
+  - name: image
+    dtype: image
+  - name: width
+    dtype: int32
+  - name: height
+    dtype: int32
+  - name: objects
+    sequence:
+    - name: bbox
+      sequence: float32
+      length: 4
+    - name: category
+      dtype: int64
+    - name: area
+      dtype: float32
+    - name: iscrowd
+      dtype: bool
+    - name: id
+      dtype: int64
+    - name: segmentation
+      sequence:
+        sequence: float32
+  splits:
+  - name: train
+    num_examples: 3688
+  - name: test
+    num_examples: 717
+  - name: valid
+    num_examples: 720
+task_categories:
+- object-detection
+---
+
+# my-object-detection-dataset
+
+## Dataset Description
+
+This is an object detection dataset with 8 classes:
+
+- objects
+- access_aisle
+- curbside
+- dp_no_aisle
+- dp_one_aisle
+- dp_two_aisle
+- one_aisle
+- two_aisle
+
+## Dataset Structure
+
+### Data Fields
+
+- `image`: PIL Image object
+- `width`: Image width in pixels
+- `height`: Image height in pixels  
+- `objects`: Dictionary containing:
+  - `bbox`: List of bounding boxes in [x_min, y_min, x_max, y_max] format
+  - `category`: List of category IDs
+  - `area`: List of bounding box areas
+  - `iscrowd`: List of crowd flags (boolean)
+  - `id`: List of annotation IDs
+  - `segmentation`: List of polygon segmentations (each as list of [x1,y1,x2,y2,...] coordinates)
+
+### Data Splits
+
+| Split | Examples |
+|-------|----------|
+| train | 3688 |
+| test | 717 |
+| valid | 720 |
+
+## Usage
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("your-username/my-object-detection-dataset")
+
+# Access training data
+train_dataset = dataset["train"]
+
+# Example of accessing an item
+item = train_dataset[0]
+image = item["image"]
+bboxes = item["objects"]["bbox"]
+categories = item["objects"]["category"]
+segmentations = item["objects"]["segmentation"]  # Polygon coordinates
+```
+
+## License
+
+Please specify the license for this dataset.

dataset_dict.json

@@ -1 +0,0 @@
-{"splits": ["train", "test", "valid"]}

train/dataset_info.json → dataset_info.json

@@ -1,72 +1,80 @@
 {
+  "dataset_name": "my-object-detection-dataset",
+  "description": "Object detection dataset with 8 classes",
   "citation": "",
-  "description": "",
+  "homepage": "",
+  "license": "",
   "features": {
     "image": {
+      "dtype": "image",
       "_type": "Image"
     },
     "width": {
-      "dtype": "int64",
+      "dtype": "int32",
       "_type": "Value"
     },
     "height": {
-      "dtype": "int64",
+      "dtype": "int32",
       "_type": "Value"
     },
     "objects": {
-      "area": {
-        "feature": {
-          "dtype": "float64",
-          "_type": "Value"
-        },
-        "_type": "List"
-      },
       "bbox": {
         "feature": {
-          "feature": {
-            "dtype": "float64",
-            "_type": "Value"
-          },
-          "_type": "List"
+          "dtype": "float32",
+          "_type": "Value"
         },
-        "_type": "List"
+        "length": 4,
+        "_type": "Sequence"
       },
       "category": {
-        "feature": {
-          "dtype": "int64",
-          "_type": "Value"
-        },
-        "_type": "List"
+        "dtype": "int64",
+        "_type": "Value"
       },
-      "id": {
-        "feature": {
-          "dtype": "int64",
-          "_type": "Value"
-        },
-        "_type": "List"
+      "area": {
+        "dtype": "float32",
+        "_type": "Value"
       },
       "iscrowd": {
-        "feature": {
-          "dtype": "int64",
-          "_type": "Value"
-        },
-        "_type": "List"
+        "dtype": "bool",
+        "_type": "Value"
+      },
+      "id": {
+        "dtype": "int64",
+        "_type": "Value"
       },
       "segmentation": {
         "feature": {
           "feature": {
-            "feature": {
-              "dtype": "float64",
-              "_type": "Value"
-            },
-            "_type": "List"
+            "dtype": "float32",
+            "_type": "Value"
           },
-          "_type": "List"
+          "_type": "Sequence"
         },
-        "_type": "List"
+        "_type": "Sequence"
       }
     }
   },
-  "homepage": "",
-  "license": ""
+  "splits": {
+    "train": {
+      "name": "train",
+      "num_bytes": 0,
+      "num_examples": 3688
+    },
+    "test": {
+      "name": "test",
+      "num_bytes": 0,
+      "num_examples": 717
+    },
+    "valid": {
+      "name": "valid",
+      "num_bytes": 0,
+      "num_examples": 720
+    }
+  },
+  "version": {
+    "version_str": "1.0.0",
+    "major": 1,
+    "minor": 0,
+    "patch": 0
+  }
 }

metadata.json

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+{
+  "categories": {
+    "0": {
+      "name": "objects",
+      "supercategory": "none"
+    },
+    "1": {
+      "name": "access_aisle",
+      "supercategory": "objects"
+    },
+    "2": {
+      "name": "curbside",
+      "supercategory": "objects"
+    },
+    "3": {
+      "name": "dp_no_aisle",
+      "supercategory": "objects"
+    },
+    "4": {
+      "name": "dp_one_aisle",
+      "supercategory": "objects"
+    },
+    "5": {
+      "name": "dp_two_aisle",
+      "supercategory": "objects"
+    },
+    "6": {
+      "name": "one_aisle",
+      "supercategory": "objects"
+    },
+    "7": {
+      "name": "two_aisle",
+      "supercategory": "objects"
+    }
+  },
+  "category_names": [
+    "objects",
+    "access_aisle",
+    "curbside",
+    "dp_no_aisle",
+    "dp_one_aisle",
+    "dp_two_aisle",
+    "one_aisle",
+    "two_aisle"
+  ],
+  "num_classes": 8,
+  "task": "object-detection",
+  "splits": [
+    "train",
+    "test",
+    "valid"
+  ],
+  "total_images": 5125,
+  "total_annotations": 11762
+}