Update README.md

README.md

@@ -4,6 +4,7 @@ task_categories:
   - time-series-forecasting
   - robotics
   - video-classification
+  - feature-extraction
 tags:
   - blender
   - camera-tracking
@@ -70,6 +71,8 @@ Individual tracking attempts with complete metrics.
 - **Feature Density:** Count of trackable features per 9-grid region (from Blender's detect_features)
 - **Time Series:** Per-frame active tracks, dropout rates, velocity profiles
 - **Track Lifecycle:** Per-marker survival, jitter, reprojection error
+- **Track Healing:** Anchor tracks, healing attempts, gap interpolation results
+- **Track Averaging:** Merged segment counts
 
 **Example Session:**
 
@@ -102,6 +105,12 @@ Individual tracking attempts with complete metrics.
       "top-left": 0.42
     }
   }
+  "healing_stats": {
+    "candidates_found": 5,
+    "heals_attempted": 3,
+    "heals_successful": 2,
+    "avg_gap_frames": 15.0
+  }
 }
 ```
 
@@ -221,7 +230,7 @@ This data is ideal for training models related to:
 
 ### Hyperparameter Optimization
 
-Predicting optimal tracking settings (pattern size, search size) based on footage characteristics and motion analysis.
+Predicts optimal tracking settings (Search Size, Pattern Size, Correlation, Motion Models) based on footage characteristics and motion analysis.
 
 ### Outlier Detection