docs

README.md

@@ -82,6 +82,7 @@ Enhance your CoralNet experience with these tools:
 - ⚙️ Batch Inference: Perform predictions on multiple images, automatically
 - ↔️ I/O: Import and Export annotations from / to CoralNet, Viscore, and TagLab
 - 📸 YOLO: Import and Export YOLO datasets for machine learning
+- 🧱 Tiling: Tile existing Detection / Segmentation datasets using `yolo-tiling`
 
 ### TODO
 - 🔍 API: Get predictions from any CoralNet source model

docs/usage.md

@@ -61,6 +61,7 @@ The main window consists of several components:
 
 - **Machine Learning**:
   - **Merge Datasets**: Merge multiple Classification datasets.
+  - **Tile Dataset**: Tile existing Detection / Segmention datasets using yolo-tiling.
   - **Train Model**: Train a machine learning model.
   - **Evaluate Model**: Evaluate a trained model.
   - **Optimize Model**: Convert model format.