Welcome to Model Training BETA
Our full suite of tools help you create a Computer Vision model unique to your needs and optimized for your application.
Your ideas are unique and a pre-trained model may not get you all the way there. No problem: a custom-trained model will take your application to the next level.
Your ideas are unique and a pre-trained model may not get you all the way there. No problem: a custom-trained model will take your application to the next level.
flexibility
Why Train Your Own
Your ideas are unique, and a pre-trained model may not fit your needs. A custom-trained machine learning model will take your application to the next level.
Why Train Your Own
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Flexibility
Your ideas are unique, and a pre-trained model may not fit your needs. A custom-trained machine learning model will take your application to the next level.
Model Training in 5 Easy Steps
Step 2: Annotate Data
Once you have compiled data, you need to indicate where the objects of interest are. This is done with an annotation tool. We have incorporated CVAT into the alwaysAI platform so all your tools are in one place.
Step 3: Train the Model
Once your data is annotated you are ready to train a custom MobileNet SSD model. Skip the first two steps by using one of our pre-compiled datasets.
Step 4: Export Model
Upload the newly trained model to your personal model repository.
Step 5: Use the Model
Run your personal model on the edge.
Our Image Capture application helps you with your data collection, so that you can collect videos and images directly from your edge device. See this GitHub repo for more.
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