Upload dataset to huggingface

README.md

@@ -1,48 +1,84 @@
 ---
+license: apache-2.0
+task_categories:
+  - object-detection
+tags:
+  - object-detection
+size_categories:
+  - 1K<n<10K
+pretty_name: Bluebases Dataset
+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: image
-    dtype: image
-  - name: image_id
-    dtype: int64
-  - name: width
-    dtype: int32
-  - name: height
-    dtype: int32
-  - name: objects
-    struct:
-    - name: id
-      list: int64
-    - name: bbox
-      list:
-        list: float32
-        length: 4
-    - name: category
-      list:
-        class_label:
-          names:
-            '0': Blue-Bases
-    - name: area
-      list: float64
-  splits:
-  - name: train
-    num_bytes: 52062756
-    num_examples: 1347
-  - name: validation
-    num_bytes: 6080331
-    num_examples: 85
-  - name: test
-    num_bytes: 3057400
-    num_examples: 43
-  download_size: 61868187
-  dataset_size: 61200487
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
-  - split: validation
-    path: data/validation-*
-  - split: test
-    path: data/test-*
+    - name: image
+      dtype: image
+    - name: image_id
+      dtype: int64
+    - name: width
+      dtype: int32
+    - name: height
+      dtype: int32
+    - name: objects
+      struct:
+        - name: id
+          sequence: int64
+        - name: bbox
+          sequence:
+            sequence: float32
+            length: 4
+        - name: category
+          sequence:
+            class_label:
+              names:
+                '0': Blue-Bases
+        - name: area
+          sequence: float64
 ---
+
+# Bluebases Dataset
+
+Object detection dataset hosted at `blackbeedrones/bluebases-dataset`.
+
+## Dataset Structure
+
+| Split | Images |
+|-------|--------|
+| train | 1347 |
+| validation | 85 |
+| test | 43 |
+
+**Total images:** 1475
+
+**Classes:** `Blue-Bases`
+
+**Annotation format:** COCO bbox `[x_min, y_min, width, height]`.
+
+## Usage
+
+### Load with HuggingFace Datasets
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("blackbeedrones/bluebases-dataset")
+example = dataset["train"][0]
+print(example["objects"])
+```
+
+### Use with Nectar SDK
+
+```python
+from nectar.ai.detection.datasets import HuggingFaceHandler
+
+handler = HuggingFaceHandler("data/local")
+handler.download(repo_id="blackbeedrones/bluebases-dataset", format_type="coco")
+# data/local now contains train/_annotations.coco.json and image files
+```