Upload model card and dataset checkpoints

README.md

@@ -20,7 +20,7 @@ HQ-SAM with its ViT-B backbone. The files do not contain the full base model.
 Load them together with `sam_hq_vit_b.pth` using the matching source script.
 
 Source code:
-https://github.com/WUT-AI-AI4Mat/microstructure-segmentation-benchmark
+https://github.com/WUT-AI-AI4Mat/Segmentation-methods-evaluation-for-quantitative-microstructure-analysis
 
 ## Fine-Tuning Routes and Checkpoints
 
@@ -81,8 +81,9 @@ class count from the table.
 ## Inference Parameters
 
 The original automatic-mask path uses `points_per_side=32`,
-`pred_iou_thresh=0.85`, `stability_score_thresh=0.8`, and `crop_n_layers=0`.
-The binary fine-tuned path uses `pred_iou_thresh=0.78` and
+`points_per_batch=64`, `pred_iou_thresh=0.85`,
+`stability_score_thresh=0.8`, `box_nms_thresh=0.7`, and `crop_n_layers=0`. The
+binary fine-tuned path uses `pred_iou_thresh=0.78` and
 `stability_score_thresh=0.8`.
 
 ## Evaluation, Intended Use, and Limitations

checkpoint_manifest.json

@@ -1,6 +1,6 @@
 {
   "model": "HQ-SAM",
-  "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": [
     {