Upload model card and dataset checkpoints

README.md

@@ -21,7 +21,7 @@ ImageNet weights. Inputs are resized to 512 x 512 pixels and predictions are
 restored to the original image size with nearest-neighbor interpolation.
 
 Source code:
-https://github.com/WUT-AI-AI4Mat/microstructure-segmentation-benchmark
+https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis
 
 ## Checkpoints
 

checkpoint_manifest.json

@@ -1,6 +1,6 @@
 {
   "model": "DeepLabV3+",
-  "source_code": "https://github.com/WUT-AI-AI4Mat/microstructure-segmentation-benchmark",
+  "source_code": "https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis",
   "checkpoint_count": 7,
   "checkpoints": [
     {