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@@ -49,8 +49,7 @@ YOLOv8 is a state-of-the-art object detection architecture, known for its speed
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  - **Model Architecture**: YOLOv8
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  - **Number of Classes**: 1 (`cargo-package`)
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- - **Training**: The model was trained using both `best.pt` (the best performing model during training) and `last.pt` (the final checkpoint).
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- - **Use Case**: Object detection and counting of cargo packages, forklifts, and trucks in warehouses, transportation hubs, or logistics centers.
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  ## Evaluation Results
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  - **Model Architecture**: YOLOv8
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  - **Number of Classes**: 1 (`cargo-package`)
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+ - **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.
 
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  ## Evaluation Results
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