feat(db): 添加图像分类标注模板到数据库初始化脚本

- 新增图像分类标注模板配置，支持内容审核、安全检测等场景
- 集成 ResNet、EfficientNet、Vision Transformer 关联模型
- 添加 Choices 标签配置，包含 Adult content、Weapons、Violence 选项
- 设置 Image 对象类型用于图像展示和标注
- 配置水平布局样式和计算机视觉类别属性

runtime/datamate-python/app/module/annotation/service/editor.py

@@ -735,7 +735,9 @@ class AnnotationEditorService:
 
         annotation_payload = dict(request.annotation or {})
         result = annotation_payload.get("result")
-        if not isinstance(result, list):
+        if result is None:
+            annotation_payload["result"] = []
+        elif not isinstance(result, list):
             raise HTTPException(status_code=400, detail="annotation.result 必须为数组")
 
         ls_task_id = self._make_ls_task_id(project_id, file_id)

scripts/db/data-annotation-init.sql

@@ -762,6 +762,40 @@ INSERT INTO t_dm_annotation_templates (
 );
 */
 
+-- =============================================
+-- 3.x 计算机视觉（已启用）
+-- =============================================
+
+-- 3.2 图像分类
+INSERT INTO t_dm_annotation_templates (
+    id, name, description, data_type, labeling_type,
+    configuration, label_config, style, category, built_in, version
+) VALUES (
+    'tpl-image-classification-001',
+    '图像分类',
+    '对图像进行分类，适用于内容审核、安全检测、社交媒体审核等场景。关联模型：ResNet、EfficientNet、Vision Transformer',
+    'image',
+    'image-classification',
+    JSON_OBJECT(
+        'labels', JSON_ARRAY(
+            JSON_OBJECT('fromName', 'choice', 'toName', 'image', 'type', 'Choices', 'options', JSON_ARRAY('Adult content', 'Weapons', 'Violence'), 'required', true)
+        ),
+        'objects', JSON_ARRAY(JSON_OBJECT('name', 'image', 'type', 'Image', 'value', '$image'))
+    ),
+    '<View>
+  <Image name="image" value="$image"/>
+  <Choices name="choice" toName="image">
+    <Choice value="Adult content"/>
+    <Choice value="Weapons" />
+    <Choice value="Violence" />
+  </Choices>
+</View>',
+    'horizontal',
+    'computer-vision',
+    1,
+    '1.0.0'
+);
+
 -- =============================================
 -- 4. 自然语言处理 (NLP)
 -- =============================================