Update README.md

README.md

@@ -48,7 +48,7 @@ This repository contains a YOLOv8-based model trained to detect and count cargo
 YOLOv8 is a state-of-the-art object detection architecture, known for its speed and accuracy. This model was trained using a custom dataset containing images of cargo packages, forklifts, and trucks, making it specialized for logistics and transportation industries.
 
 - **Model Architecture**: YOLOv8
-- **Number of Classes**: 3 (`cargo-package`, `forklift`, `truck`)
+- **Number of Classes**: 1 (`cargo-package`)
 - **Training**: The model was trained using both `best.pt` (the best performing model during training) and `last.pt` (the final checkpoint).
 - **Use Case**: Object detection and counting of cargo packages, forklifts, and trucks in warehouses, transportation hubs, or logistics centers.