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