Could you elaborate on the process of pre-training models within PicStork and the procedure for adding objects for identification?
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Hello @Anand.Nayak ,
Picstrok essentially offers model training and executes detection using the generated model.
Here are the steps for training the model:
- Begin by creating a project and task for model training.
- Subsequently, establish an image set and upload images. If you have an orthomosaic map created on the DroneNakhsa, you can also import it into the image set.
- Initiate the task by annotating the required objects. If the training task involves images, annotate a minimum of 20 images. Alternatively, if you’re working with an orthomosaic map, draw the Training area, Testing area, and Accuracy area.
- Proceed to the setup option, where you will select task accuracy, and task purpose, and commence the training task.
- Once the model is ready, you will receive an email notification.
- Verify your created model in the detector section of the Picstrok dashboard.stance.
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