-
Introduction
What is AiStudio? With AiStudio anyone can create a project, collect data and train a machine-learning model without the need to have any coding experience. Designed to simplify the data collection, training, and testing processes for creating machine learning models, AiStudio has an easy-to-follow visual wizard that…
-
Creating a Project
Creating a project To create a project: 1. Log in to Frontline Command Center with a user that has an AiStudio role. 2. Go to Navigation Pane on the top left of your Dashboard, and select AiStudio under Platform Tools. 3. Click on Create New Project on the top right. 4. Enter the name of the project and click on NEXT. 5.…
-
Dataset
Data collection After creating the project, the dataset needs to be populated with images for every object mentioned. The system then trains itself on these images collected. Note: A minimum of 20 images are required for training. The dataset tab also gives an overview of the image set, the objects are mentioned and the…
-
Training
After data collection, model training can be started. Start a training Go to Project Overview. Select your project. Optional: On the top bar next to the project name select the gear icon. Optional: Select Data Optimization. Go through the suggested steps, this would enhance the dataset and make it more accurate. Select…
-
Inference
The inference section includes the pictures which were saved by the system on its own while the model was being used. The images are tagged with objects which were identified by the model. Users can also correct them here. Inference can be used to see if the model is identifying images correctly on its own or not. To be…
-
Components in Frontline Creator
You can refresh your memory about the Frontline Creator here. The major advantage of having a trained AiStudio model, is that you can use it as a component within your workflows. The component can be configured according to your specifications. Link a model to a component To link a modal to a component: 1. Publish your…
