Training A Vision Model

Training A Vision Model

Training A Vision Model

Training A Vision Model

Training A Vision Model

Here's a short overview on how to train AI Models in Navigator. Your first time training a model with a new architecture you will need to download the architecture in the wizard. Once its downloaded follow the steps below.

1. Open the Model Tray


2. Create a new model


3. Select your model


4. Move to the next step in the training wizard


5. Select your training data


6. Upload the training data


7. Upload validation data if the model requires it


8. Rename the model


9. Move to the next step in the wizard


10. Check your images, classes, and any augmentations


11. Name the training run


12. Run the model


13. When training is completed, click done


14. Search for your new model in the model tray


15. To see more details about the model, click to open


16. See confusion matrix and other data


17. Revisit training settings


18. Drag and drop your model onto the canvas and connect it to other elements to start running inference.


19. Add a "File Load" element to upload images or videos to run your model on


20. Connect it to the model to pass your data through


21. Open the meatball menu to select your file


22. Open settings to add your file


23. Choose image or video


24. Upload your file


25. Start the flow


26. Wait for the dots to turn green, then open the bounding box


27. See the inference being run on your data


28. Close when you've seen enough to check model performance

Here's a short overview on how to train AI Models in Navigator. Your first time training a model with a new architecture you will need to download the architecture in the wizard. Once its downloaded follow the steps below.

1. Open the Model Tray


2. Create a new model


3. Select your model


4. Move to the next step in the training wizard


5. Select your training data


6. Upload the training data


7. Upload validation data if the model requires it


8. Rename the model


9. Move to the next step in the wizard


10. Check your images, classes, and any augmentations


11. Name the training run


12. Run the model


13. When training is completed, click done


14. Search for your new model in the model tray


15. To see more details about the model, click to open


16. See confusion matrix and other data


17. Revisit training settings


18. Drag and drop your model onto the canvas and connect it to other elements to start running inference.


19. Add a "File Load" element to upload images or videos to run your model on


20. Connect it to the model to pass your data through


21. Open the meatball menu to select your file


22. Open settings to add your file


23. Choose image or video


24. Upload your file


25. Start the flow


26. Wait for the dots to turn green, then open the bounding box


27. See the inference being run on your data


28. Close when you've seen enough to check model performance