Update README.md

README.md

@@ -1,3 +1,23 @@
+---
+datasets:
+  - name: Cross-Dimensional Evaluation Datasets
+    description: >
+      A comprehensive collection of 2D and 3D medical imaging datasets
+      curated to facilitate the evaluation of transfer learning models across
+      different dimensions and modalities. These datasets encompass various
+      imaging techniques, classification tasks, image dimensions, pixel ranges,
+      label types, and the number of unique labels, providing a robust platform
+      for assessing fine-tuning capabilities.
+    tasks:
+      - image-classification
+    modalities:
+      - 2D images
+      - 3D volumes
+    licenses:
+      - name: CC BY 4.0
+        url: https://creativecommons.org/licenses/by/4.0
+---
+
 # Cross-Dimensional Evaluation Datasets
 
 Transfer learning in machine learning models, particularly deep learning architectures, requires diverse datasets to ensure robustness and generalizability across tasks and domains. This repository provides comprehensive details on the datasets used for evaluation, categorized into **2D** and **3D datasets**. These datasets span variations in image dimensions, pixel ranges, label types, and unique labels, facilitating a thorough assessment of fine-tuning capabilities.