Upload segmentation_template version 0.0.4

configs/metadata.json

@@ -1,7 +1,8 @@
 {
     "schema": "https://github.com/Project-MONAI/MONAI-extra-test-data/releases/download/0.8.1/meta_schema_20220324.json",
-    "version": "0.0.3",
+    "version": "0.0.4",
     "changelog": {
+        "0.0.4": "enhance metadata with improved descriptions",
         "0.0.3": "update to huggingface hosting",
         "0.0.2": "Minor train.yaml clarifications",
         "0.0.1": "Initial version"
@@ -13,9 +14,9 @@
         "nibabel": "5.2.1",
         "pytorch-ignite": "0.4.11"
     },
-    "name": "Segmentation Template",
-    "task": "Segmentation of randomly generated spheres in 3D images",
-    "description": "This is a template bundle for segmenting in 3D, take this as a basis for your own bundles.",
+    "name": "Medical Image Segmentation Template",
+    "task": "Template for 3D Medical Image Segmentation",
+    "description": "A comprehensive 3D segmentation framework designed as a foundation for developing custom medical volumetric segmentation models. The template includes a configurable architecture and preprocessing pipeline, processing 128x128x128 voxel volumes with single-channel input and producing 4-class segmentation outputs. Includes support for random sphere generation for demonstration and testing purposes.",
     "authors": "Eric Kerfoot",
     "copyright": "Copyright (c) 2023 MONAI Consortium",
     "network_data_format": {