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  # BPMN element detection
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  The dataset contains 15 target labels:
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  - **AGENT**
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  | messageFlow | 0.8589 | 0.7910 | 0.8235 |
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- ## Model description
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- This project aims to detect Business Process Model and Notation (BPMN) elements from hand-drawn diagrams using a machine learning model. The model is trained to recognize various BPMN elements such as tasks, events, gateways, and connectors from images of hand-drawn diagrams.
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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- More information needed
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- ## Training procedure
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
 
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  # BPMN element detection
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+ ## Model description
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+ This project aims to detect Business Process Model and Notation (BPMN) elements from hand-drawn diagrams using a machine learning model. The model is trained to recognize various BPMN elements such as tasks, events, gateways, and connectors from images of hand-drawn diagrams.
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  The dataset contains 15 target labels:
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  - **AGENT**
 
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  | messageFlow | 0.8589 | 0.7910 | 0.8235 |
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  ### Training hyperparameters
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  The following hyperparameters were used during training: